Understanding predictive information criteria for Bayesian models. Zbl 1332.62090
Gelman, Andrew; Hwang, Jessica; Vehtari, Aki |
|
2014
|
Approximate Bayesian computational methods. Zbl 1252.62022
Marin, Jean-Michel; Pudlo, Pierre; Robert, Christian P.; Ryder, Robin J. |
|
2012
|
Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC. Zbl 1505.62408
Vehtari, Aki; Gelman, Andrew; Gabry, Jonah |
|
2017
|
Slice sampling mixture models. Zbl 1256.65006
Kalli, Maria; Griffin, Jim E.; Walker, Stephen G. |
|
2011
|
An adaptive sequential Monte Carlo method for approximate Bayesian computation. Zbl 1252.65025
Del Moral, Pierre; Doucet, Arnaud; Jasra, Ajay |
|
2012
|
On Bayesian model and variable selection using MCMC. Zbl 1247.62086
Dellaportas, Petros; Forster, Jonathan J.; Ntzoufras, Ioannis |
|
2002
|
Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors. Zbl 1331.62359
Breheny, Patrick; Huang, Jian |
|
2015
|
Slope heuristics: overview and implementation. Zbl 1322.62007
Baudry, Jean-Patrick; Maugis, Cathy; Michel, Bertrand |
|
2012
|
Finite mixtures of multivariate skew \(t\)-distributions: some recent and new results. Zbl 1325.62107
Lee, Sharon; McLachlan, Geoffrey J. |
|
2014
|
Sequential design of computer experiments for the estimation of a probability of failure. Zbl 1252.62081
Bect, Julien; Ginsbourger, David; Li, Ling; Picheny, Victor |
|
2012
|
Model-based clustering, classification, and discriminant analysis via mixtures of multivariate \(t\)-distributions. Zbl 1252.62062
Andrews, Jeffrey L.; Mcnicholas, Paul D. |
|
2012
|
Model-based clustering based on sparse finite Gaussian mixtures. Zbl 1342.62109
Malsiner-Walli, Gertraud; Frühwirth-Schnatter, Sylvia; Grün, Bettina |
|
2016
|
Design of computer experiments: space filling and beyond. Zbl 1252.62080
Pronzato, Luc; Müller, Werner G. |
|
2012
|
Sequential Monte Carlo for rare event estimation. Zbl 1252.62083
Cérou, Frédéric; Del Moral, Pierre; Furon, Teddy; Guyader, Arnaud |
|
2012
|
A fast unified algorithm for solving group-lasso penalize learning problems. Zbl 1331.62343
Yang, Yi; Zou, Hui |
|
2015
|
Cases for the nugget in modeling computer experiments. Zbl 1252.62098
Gramacy, Robert B.; Lee, Herbert K. H. |
|
2012
|
Comparison of Bayesian predictive methods for model selection. Zbl 1505.62321
Piironen, Juho; Vehtari, Aki |
|
2017
|
Noisy Monte Carlo: convergence of Markov chains with approximate transition kernels. Zbl 1342.60122
Alquier, P.; Friel, N.; Everitt, R.; Boland, A. |
|
2016
|
Finite mixtures of canonical fundamental skew \(t\)-distributions. The unification of the restricted and unrestricted skew \(t\)-mixture models. Zbl 1420.60020
Lee, Sharon X.; McLachlan, Geoffrey J. |
|
2016
|
Extending mixtures of multivariate \(t\)-factor analyzers. Zbl 1255.62171
Andrews, Jeffrey L.; McNicholas, Paul D. |
|
2011
|
D-optimal designs via a cocktail algorithm. Zbl 1270.62107
Yu, Yaming |
|
2011
|
Finite mixtures of matrix normal distributions for classifying three-way data. Zbl 1221.62083
Viroli, Cinzia |
|
2011
|
Hierarchical Bayesian level set inversion. Zbl 1384.62084
Dunlop, Matthew M.; Iglesias, Marco A.; Stuart, Andrew M. |
|
2017
|
Non-reversible Metropolis-Hastings. Zbl 1360.65040
Bierkens, Joris |
|
2016
|
Numerical maximum likelihood estimation for the \(g\)-and-\(k\) and generalized \(g\)-and-\(h\) distributions. Zbl 1247.62069
Rayner, G. D.; MacGillivray, H. L. |
|
2002
|
Estimation and selection for the latent block model on categorical data. Zbl 1331.62149
Keribin, Christine; Brault, Vincent; Celeux, Gilles; Govaert, Gérard |
|
2015
|
Proximal Markov chain Monte Carlo algorithms. Zbl 1505.62315
Pereyra, Marcelo |
|
2016
|
Robust adaptive Metropolis algorithm with coerced acceptance rate. Zbl 1252.65024
Vihola, Matti |
|
2012
|
A new family of multivariate heavy-tailed distributions with variable marginal amounts of tailweight: application to robust clustering. Zbl 1332.62204
Forbes, Florence; Wraith, Darren |
|
2014
|
Filtering via approximate Bayesian computation. Zbl 1252.62093
Jasra, Ajay; Singh, Sumeetpal S.; Martin, James S.; McCoy, Emma |
|
2012
|
On optimal multiple changepoint algorithms for large data. Zbl 1505.62269
Maidstone, Robert; Hocking, Toby; Rigaill, Guillem; Fearnhead, Paul |
|
2017
|
Bayesian computation: a summary of the current state, and samples backwards and forwards. Zbl 1331.62017
Green, Peter J.; Łatuszyński, Krzysztof; Pereyra, Marcelo; Robert, Christian P. |
|
2015
|
Flexible mixture modelling using the multivariate skew-\(t\)-normal distribution. Zbl 1325.62113
Lin, Tsung-I; Ho, Hsiu J.; Lee, Chia-Rong |
|
2014
|
Quantile regression for longitudinal data based on latent Markov subject-specific parameters. Zbl 1322.62206
Farcomeni, Alessio |
|
2012
|
Shape constrained additive models. Zbl 1331.62367
Pya, Natalya; Wood, Simon N. |
|
2015
|
Exploring the number of groups in robust model-based clustering. Zbl 1221.62093
García-Escudero, L. A.; Gordaliza, A.; Matrán, C.; Mayo-Iscar, A. |
|
2011
|
Sequential Monte Carlo methods for Bayesian elliptic inverse problems. Zbl 1331.65012
Beskos, Alexandros; Jasra, Ajay; Muzaffer, Ege A.; Stuart, Andrew M. |
|
2015
|
Sequential Monte Carlo on large binary sampling spaces. Zbl 1322.62035
Schäfer, Christian; Chopin, Nicolas |
|
2013
|
Statistical inference for a single-index varying-coefficient model. Zbl 1322.62126
Xue, Liugen; Pang, Zhen |
|
2013
|
Linear quantile mixed models. Zbl 1325.62010
Geraci, Marco; Bottai, Matteo |
|
2014
|
Model-free feature screening for ultrahigh dimensional censored regression. Zbl 1384.62144
Zhou, Tingyou; Zhu, Liping |
|
2017
|
Statistical analysis of differential equations: introducing probability measures on numerical solutions. Zbl 1384.62082
Conrad, Patrick R.; Girolami, Mark; Särkkä, Simo; Stuart, Andrew; Zygalakis, Konstantinos |
|
2017
|
Likelihood-free inference via classification. Zbl 1384.62089
Gutmann, Michael U.; Dutta, Ritabrata; Kaski, Samuel; Corander, Jukka |
|
2018
|
Estimation in nonlinear mixed-effects models using heavy-tailed distributions. Zbl 1322.62030
Meza, Cristian; Osorio, Felipe; De la Cruz, Rolando |
|
2012
|
Block clustering with collapsed latent block models. Zbl 1322.62046
Wyse, Jason; Friel, Nial |
|
2012
|
Variable selection for generalized linear mixed models by \(L_1\)-penalized estimation. Zbl 1325.62139
Groll, Andreas; Tutz, Gerhard |
|
2014
|
An advancement in clustering via nonparametric density estimation. Zbl 1322.62175
Menardi, Giovanna; Azzalini, Adelchi |
|
2014
|
Smoothing combined estimating equations in quantile regression for longitudinal data. Zbl 1325.62141
Leng, Chenlei; Zhang, Weiping |
|
2014
|
Delayed acceptance particle MCMC for exact inference in stochastic kinetic models. Zbl 1332.60117
Golightly, Andrew; Henderson, Daniel A.; Sherlock, Chris |
|
2015
|
Variable selection and estimation for partially linear single-index models with longitudinal data. Zbl 1331.62336
Li, Gaorong; Lai, Peng; Lian, Heng |
|
2015
|
Simultaneous model-based clustering and visualization in the Fisher discriminative subspace. Zbl 1322.62162
Bouveyron, Charles; Brunet, Camille |
|
2012
|
Efficient Monte Carlo simulation via the generalized splitting method. Zbl 1322.65002
Botev, Zdravko I.; Kroese, Dirk P. |
|
2012
|
A computationally efficient nonparametric approach for changepoint detection. Zbl 1505.62181
Haynes, Kaylea; Fearnhead, Paul; Eckley, Idris A. |
|
2017
|
Hilbert space methods for reduced-rank Gaussian process regression. Zbl 1436.62316
Solin, Arno; Särkkä, Simo |
|
2020
|
Comparing composite likelihood methods based on pairs for spatial Gaussian random fields. Zbl 1332.62368
Bevilacqua, Moreno; Gaetan, Carlo |
|
2015
|
Bayesian quantile regression for single-index models. Zbl 1325.62089
Hu, Yuao; Gramacy, Robert B.; Lian, Heng |
|
2013
|
On confidence intervals for semiparametric expectile regression. Zbl 1322.62136
Sobotka, Fabian; Kauermann, Göran; Waltrup, Linda Schulze; Kneib, Thomas |
|
2013
|
Fast simulation of truncated Gaussian distributions. Zbl 1284.65015
Chopin, Nicolas |
|
2011
|
Avoiding spurious local maximizers in mixture modeling. Zbl 1331.62100
García-Escudero, L. A.; Gordaliza, A.; Matrán, C.; Mayo-Iscar, A. |
|
2015
|
Minimax optimal designs via particle swarm optimization methods. Zbl 1332.62265
Chen, Ray-Bing; Chang, Shin-Perng; Wang, Weichung; Tung, Heng-Chih; Wong, Weng Kee |
|
2015
|
Towards optimal scaling of Metropolis-coupled Markov chain Monte Carlo. Zbl 1223.65001
Atchadé, Yves F.; Roberts, Gareth O.; Rosenthal, Jeffrey S. |
|
2011
|
Model based labeling for mixture models. Zbl 1322.62047
Yao, Weixin |
|
2012
|
Layered adaptive importance sampling. Zbl 1505.62276
Martino, L.; Elvira, V.; Luengo, D.; Corander, J. |
|
2017
|
Flexible mixture modeling via the multivariate \(t\) distribution with the Box-Cox transformation: an alternative to the skew-\(t\) distribution. Zbl 1322.62173
Lo, Kenneth; Gottardo, Raphael |
|
2012
|
Smooth functional tempering for nonlinear differential equation models. Zbl 1322.62011
Campbell, David; Steele, Russell J. |
|
2012
|
A semiparametric Bayesian approach to extreme value estimation. Zbl 1322.62049
Ferraz do Nascimento, Fernando; Gamerman, Dani; Lopes, Hedibert Freitas |
|
2012
|
Parameter estimation in high dimensional Gaussian distributions. Zbl 1325.62006
Aune, Erlend; Simpson, Daniel P.; Eidsvik, Jo |
|
2014
|
Inference in finite state space non parametric hidden Markov models and applications. Zbl 1342.62141
Gassiat, E.; Cleynen, A.; Robin, S. |
|
2016
|
Approximation and sampling of multivariate probability distributions in the tensor train decomposition. Zbl 1436.62192
Dolgov, Sergey; Anaya-Izquierdo, Karim; Fox, Colin; Scheichl, Robert |
|
2020
|
Maximum likelihood inference for mixtures of skew Student-\(t\)-normal distributions through practical EM-type algorithms. Zbl 1322.62087
Ho, Hsiu J.; Pyne, Saumyadipta; Lin, Tsung I. |
|
2012
|
On parallel implementation of sequential Monte Carlo methods: the island particle model. Zbl 1331.65023
Vergé, Christelle; Dubarry, Cyrille; Del Moral, Pierre; Moulines, Eric |
|
2015
|
A review and some new results on permutation testing for multivariate problems. Zbl 1322.62155
Pesarin, Fortunato; Salmaso, Luigi |
|
2012
|
Model-based clustering using copulas with applications. Zbl 1505.62233
Kosmidis, Ioannis; Karlis, Dimitris |
|
2016
|
Fast covariance estimation for sparse functional data. Zbl 1384.62142
Xiao, Luo; Li, Cai; Checkley, William; Crainiceanu, Ciprian |
|
2018
|
Cuts in Bayesian graphical models. Zbl 1331.62041
Plummer, Martyn |
|
2015
|
Sparse estimation via nonconcave penalized likelihood in factor analysis model. Zbl 1332.62194
Hirose, Kei; Yamamoto, Michio |
|
2015
|
Simultaneous inference in structured additive conditional copula regression models: a unifying Bayesian approach. Zbl 1505.62229
Klein, Nadja; Kneib, Thomas |
|
2016
|
Ensemble Kalman inversion: mean-field limit and convergence analysis. Zbl 1462.62023
Ding, Zhiyan; Li, Qin |
|
2021
|
EM for mixtures.
Initialization requires special care. Zbl 1331.62301
Baudry, Jean-Patrick; Celeux, Gilles |
|
2015
|
Mixture of latent trait analyzers for model-based clustering of categorical data. Zbl 1325.62122
Gollini, Isabella; Murphy, Thomas Brendan |
|
2014
|
Free energy methods for Bayesian inference: efficient exploration of univariate Gaussian mixture posteriors. Zbl 1252.62015
Chopin, Nicolas; Lelièvre, Tony; Stoltz, Gabriel |
|
2012
|
A goodness-of-fit test for multivariate multiparameter copulas based on multiplier central limit theorems. Zbl 1274.62400
Kojadinovic, Ivan; Yan, Jun |
|
2011
|
Fast covariance estimation for high-dimensional functional data. Zbl 1342.62094
Xiao, Luo; Zipunnikov, Vadim; Ruppert, David; Crainiceanu, Ciprian |
|
2016
|
A modern retrospective on probabilistic numerics. Zbl 1431.60002
Oates, C. J.; Sullivan, T. J. |
|
2019
|
Straightforward intermediate rank tensor product smoothing in mixed models. Zbl 1322.62197
Wood, Simon N.; Scheipl, Fabian; Faraway, Julian J. |
|
2013
|
Improving power posterior estimation of statistical evidence. Zbl 1322.62098
Friel, Nial; Hurn, Merrilee; Wyse, Jason |
|
2014
|
Orthogonal Stiefel manifold optimization for eigen-decomposed covariance parameter estimation in mixture models. Zbl 1325.62008
Browne, Ryan P.; McNicholas, Paul D. |
|
2014
|
Generating generalized inverse Gaussian random variates. Zbl 1325.62031
Hörmann, Wolfgang; Leydold, Josef |
|
2014
|
An adaptive-to-model test for partially parametric single-index models. Zbl 1505.62451
Zhu, Xuehu; Guo, Xu; Zhu, Lixing |
|
2017
|
Global sensitivity analysis of stochastic computer models with joint metamodels. Zbl 1252.62120
Marrel, Amandine; Iooss, Bertrand; da Veiga, Sébastien |
|
2012
|
Pre-processing for approximate Bayesian computation in image analysis. Zbl 1331.62158
Moores, Matthew T.; Drovandi, Christopher C.; Mengersen, Kerrie; Robert, Christian P. |
|
2015
|
Gaussian variational approximation with sparse precision matrices. Zbl 1384.62105
Tan, Linda S. L.; Nott, David J. |
|
2018
|
Multivariate linear regression with non-normal errors: a solution based on mixture models. Zbl 1221.62106
Soffritti, Gabriele; Galimberti, Giuliano |
|
2011
|
Probabilistic solutions to ordinary differential equations as nonlinear Bayesian filtering: a new perspective. Zbl 1435.65020
Tronarp, Filip; Kersting, Hans; Särkkä, Simo; Hennig, Philipp |
|
2019
|
Optimizing Latin hypercube designs by particle swarm. Zbl 1322.90005
Chen, Ray-Bing; Hsieh, Dai-Ni; Hung, Ying; Wang, Weichung |
|
2013
|
Interacting multiple try algorithms with different proposal distributions. Zbl 1322.65003
Casarin, Roberto; Craiu, Radu; Leisen, Fabrizio |
|
2013
|
Computing projection depth and its associated estimators. Zbl 1325.62014
Liu, Xiaohui; Zuo, Yijun |
|
2014
|
A quasi-Newton acceleration for high-dimensional optimization algorithms. Zbl 1284.90095
Zhou, Hua; Alexander, David; Lange, Kenneth |
|
2011
|
Extending mixtures of multivariate \(t\)-factor analyzers. Zbl 1255.62175
Andrews, Jeffrey L.; Mcnicholas, Paul D. |
|
2011
|
A comparison of efficient approximations for a weighted sum of chi-squared random variables. Zbl 1342.62012
Bodenham, Dean A.; Adams, Niall M. |
|
2016
|
Consistent causal inference from time series with PC algorithm and its time-aware extension. Zbl 1523.62005
Biswas, Rahul; Mukherjee, Somabha |
|
2024
|
Jittering and clustering: strategies for the construction of robust designs. Zbl 07889755
Wiens, Douglas P. |
|
2024
|
Bias-reduced and variance-corrected asymptotic Gaussian inference about extreme expectiles. Zbl 07889756
Daouia, Abdelaati; Stupfler, Gilles; Usseglio-Carleve, Antoine |
|
2024
|
A framework of regularized low-rank matrix models for regression and classification. Zbl 1523.62014
Huang, Hsin-Hsiung; Yu, Feng; Fan, Xing; Zhang, Teng |
|
2024
|
Power-law distribution in pieces: a semi-parametric approach with change point detection. Zbl 1523.62034
Ramos, Pedro L.; Jerez-Lillo, Nixon; Segovia, Francisco A.; Egbon, Osafu A.; Louzada, Francisco |
|
2024
|
Generalised likelihood profiles for models with intractable likelihoods. Zbl 1529.62040
Warne, David J.; Maclaren, Oliver J.; Carr, Elliot J.; Simpson, Matthew J.; Drovandi, Christopher |
|
2024
|
Accelerated gradient methods for sparse statistical learning with nonconvex penalties. Zbl 1536.62028
Yang, Kai; Asgharian, Masoud; Bhatnagar, Sahir |
|
2024
|
NuZZ: numerical zig-zag for general models. Zbl 1536.62021
Pagani, Filippo; Chevallier, Augustin; Power, Sam; House, Thomas; Cotter, Simon |
|
2024
|
Dimension-independent spectral gap of polar slice sampling. Zbl 1530.62009
Rudolf, Daniel; Schär, Philip |
|
2024
|
Likelihood-free inference in state-space models with unknown dynamics. Zbl 1529.62010
Aushev, Alexander; Tran, Thong; Pesonen, Henri; Howes, Andrew; Kaski, Samuel |
|
2024
|
Bayesian projection pursuit regression. Zbl 1529.62014
Collins, Gavin; Francom, Devin; Rumsey, Kellin |
|
2024
|
A reliable data-based smoothing parameter selection method for circular kernel estimation. Zbl 1537.62004
Ameijeiras-Alonso, Jose |
|
2024
|
Subsampling approach for least squares fitting of semi-parametric accelerated failure time models to massive survival data. Zbl 1536.62029
Yang, Zehan; Wang, HaiYing; Yan, Jun |
|
2024
|
Functional mixtures-of-experts. Zbl 1539.62012
Chamroukhi, Faïcel; Pham, Nhat Thien; Hoang, Van Hà; McLachlan, Geoffrey J. |
|
2024
|
Parallelized integrated nested Laplace approximations for fast Bayesian inference. Zbl 1502.62016
Gaedke-Merzhäuser, Lisa; van Niekerk, Janet; Schenk, Olaf; Rue, Håvard |
|
2023
|
Moments and random number generation for the truncated elliptical family of distributions. Zbl 1505.62406
Valeriano, Katherine A. L.; Galarza, Christian E.; Matos, Larissa A. |
|
2023
|
False discovery rate envelopes. Zbl 1517.62039
Mrkvička, Tomáš; Myllymäki, Mari |
|
2023
|
Adaptation of the tuning parameter in general Bayesian inference with robust divergence. Zbl 1516.62034
Yonekura, Shouto; Sugasawa, Shonosuke |
|
2023
|
Statistical depth in abstract metric spaces. Zbl 1516.62013
Geenens, Gery; Nieto-Reyes, Alicia; Francisci, Giacomo |
|
2023
|
Fitting Matérn smoothness parameters using automatic differentiation. Zbl 1516.62014
Geoga, Christopher J.; Marin, Oana; Schanen, Michel; Stein, Michael L. |
|
2023
|
Bayesian learning via neural Schrödinger-Föllmer flows. Zbl 1499.62036
Vargas, Francisco; Ovsianas, Andrius; Fernandes, David; Girolami, Mark; Lawrence, Neil D.; Nüsken, Nikolas |
|
2023
|
Model-free global likelihood subsampling for massive data. Zbl 1499.62042
Yi, Si-Yu; Zhou, Yong-Dao |
|
2023
|
Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming. Zbl 1502.62024
Riutort-Mayol, Gabriel; Bürkner, Paul-Christian; Andersen, Michael R.; Solin, Arno; Vehtari, Aki |
|
2023
|
On randomized sketching algorithms and the Tracy-Widom law. Zbl 1512.62006
Ahfock, Daniel; Astle, William J.; Richardson, Sylvia |
|
2023
|
Correlation-based sparse inverse Cholesky factorization for fast Gaussian-process inference. Zbl 1516.62017
Kang, Myeongjong; Katzfuss, Matthias |
|
2023
|
Variable selection using a smooth information criterion for distributional regression models. Zbl 1517.62040
O’Neill, Meadhbh; Burke, Kevin |
|
2023
|
A fast epigraph and hypograph-based approach for clustering functional data. Zbl 1516.62025
Pulido, Belén; Franco-Pereira, Alba M.; Lillo, Rosa E. |
|
2023
|
De-noising boosting methods for variable selection and estimation subject to error-prone variables. Zbl 1516.62009
Chen, Li-Pang |
|
2023
|
State-dependent importance sampling for estimating expectations of functionals of sums of independent random variables. Zbl 1516.62006
Ben Amar, Eya; Ben Rached, Nadhir; Haji-Ali, Abdul-Lateef; Tempone, Raúl |
|
2023
|
A SUR version of the Bichon criterion for excursion set estimation. Zbl 1516.62011
Duhamel, Clément; Helbert, Céline; Munoz Zuniga, Miguel; Prieur, Clémentine; Sinoquet, Delphine |
|
2023
|
Unbalanced distributed estimation and inference for the precision matrix in Gaussian graphical models. Zbl 1516.62021
Nezakati, Ensiyeh; Pircalabelu, Eugen |
|
2023
|
Quantile-distribution functions and their use for classification, with application to naïve Bayes classifiers. Zbl 1516.62027
Redivo, Edoardo; Viroli, Cinzia; Farcomeni, Alessio |
|
2023
|
Testing symmetry for bivariate copulas using Bernstein polynomials. Zbl 1523.62024
Lyu, Guanjie; Belalia, Mohamed |
|
2023
|
Robust discrete choice models with \(t\)-distributed kernel errors. Zbl 1499.62021
Krueger, Rico; Bierlaire, Michel; Gasos, Thomas; Bansal, Prateek |
|
2023
|
Sticky PDMP samplers for sparse and local inference problems. Zbl 1499.62011
Bierkens, Joris; Grazzi, Sebastiano; Meulen, Frank van der; Schauer, Moritz |
|
2023
|
GParareal: a time-parallel ODE solver using Gaussian process emulation. Zbl 1502.65041
Pentland, Kamran; Tamborrino, Massimiliano; Sullivan, T. J.; Buchanan, James; Appel, L. C. |
|
2023
|
Variable selection using conditional AIC for linear mixed models with data-driven transformations. Zbl 1502.62020
Lee, Yeonjoo; Rojas-Perilla, Natalia; Runge, Marina; Schmid, Timo |
|
2023
|
On proportional volume sampling for experimental design in general spaces. Zbl 1502.62022
Poinas, Arnaud; Bardenet, Rémi |
|
2023
|
Performance analysis of greedy algorithms for minimising a maximum mean discrepancy. Zbl 1499.62029
Pronzato, Luc |
|
2023
|
Variational inference with vine copulas: an efficient approach for Bayesian computer model calibration. Zbl 1502.62017
Kejzlar, Vojtech; Maiti, Tapabrata |
|
2023
|
Bayesian parameter inference for partially observed stochastic differential equations driven by fractional Brownian motion. Zbl 1502.62021
Maama, Mohamed; Jasra, Ajay; Ombao, Hernando |
|
2023
|
Modularized Bayesian analyses and cutting feedback in likelihood-free inference. Zbl 1512.62007
Chakraborty, Atlanta; Nott, David J.; Drovandi, Christopher C.; Frazier, David T.; Sisson, Scott A. |
|
2023
|
The forward-backward envelope for sampling with the overdamped Langevin algorithm. Zbl 1516.62012
Eftekhari, Armin; Vargas, Luis; Zygalakis, Konstantinos C. |
|
2023
|
Learning-based importance sampling via stochastic optimal control for stochastic reaction networks. Zbl 1516.62007
Ben Hammouda, Chiheb; Ben Rached, Nadhir; Tempone, Raúl; Wiechert, Sophia |
|
2023
|
Variational Tobit Gaussian process regression. Zbl 1516.62004
Basson, Marno; Louw, Tobias M.; Smith, Theresa R. |
|
2023
|
Stochastic variable metric proximal gradient with variance reduction for non-convex composite optimization. Zbl 1517.62017
Fort, Gersende; Moulines, Eric |
|
2023
|
A data-driven and model-based accelerated Hamiltonian Monte Carlo method for Bayesian elliptic inverse problems. Zbl 1517.62030
Li, Sijing; Zhang, Cheng; Zhang, Zhiwen; Zhao, Hongkai |
|
2023
|
Inference of multivariate exponential Hawkes processes with inhibition and application to neuronal activity. Zbl 1517.62007
Bonnet, Anna; Martinez Herrera, Miguel; Sangnier, Maxime |
|
2023
|
Goodness-of-fit tests for multivariate skewed distributions based on the characteristic function. Zbl 1517.62026
Karling, Maicon J.; Genton, Marc G.; Meintanis, Simos G. |
|
2023
|
Efficient estimation of multiple expectations with the same sample by adaptive importance sampling and control variates. Zbl 1517.62013
Demange-Chryst, Julien; Bachoc, François; Morio, Jérôme |
|
2023
|
High-dimensional order-free multivariate spatial disease mapping. Zbl 1517.62047
Vicente, Gonzalo; Adin, Aritz; Goicoa, Tomás; Ugarte, María Dolores |
|
2023
|
Functional concurrent hidden Markov model. Zbl 1516.62036
Zhou, Xiaoxiao; Song, Xinyuan |
|
2023
|
Variable selection and regularization via arbitrary rectangle-range generalized elastic net. Zbl 1517.62014
Ding, Yujia; Peng, Qidi; Song, Zhengming; Chen, Hansen |
|
2023
|
Distributed statistical optimization for non-randomly stored big data with application to penalized learning. Zbl 1516.62030
Wang, Kangning; Li, Shaomin |
|
2023
|
General jackknife empirical likelihood and its applications. Zbl 1517.62032
Liu, Yiming; Wang, Shaochen; Zhou, Wang |
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2023
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Cauchy Markov random field priors for Bayesian inversion. Zbl 1484.62013
Suuronen, Jarkko; Chada, Neil K.; Roininen, Lassi |
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2022
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On automatic bias reduction for extreme expectile estimation. Zbl 1495.62010
Girard, Stéphane; Stupfler, Gilles; Usseglio-Carleve, Antoine |
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2022
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Proximal nested sampling for high-dimensional Bayesian model selection. Zbl 1496.62005
Cai, Xiaohao; McEwen, Jason D.; Pereyra, Marcelo |
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2022
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Low-rank tensor reconstruction of concentrated densities with application to Bayesian inversion. Zbl 1484.62002
Eigel, Martin; Gruhlke, Robert; Marschall, Manuel |
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2022
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Unbiased approximation of posteriors via coupled particle Markov chain Monte Carlo. Zbl 1486.62010
van den Boom, Willem; Jasra, Ajay; De Iorio, Maria; Beskos, Alexandros; Eriksson, Johan G. |
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2022
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Constrained parsimonious model-based clustering. Zbl 1477.62006
García-Escudero, Luis A.; Mayo-Iscar, Agustín; Riani, Marco |
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2022
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Stochastic approximation cut algorithm for inference in modularized Bayesian models. Zbl 1477.62013
Liu, Yang; Goudie, Robert J. B. |
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2022
|
The recursive variational Gaussian approximation (R-VGA). Zbl 1477.62012
Lambert, Marc; Bonnabel, Silvère; Bach, Francis |
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2022
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Product-form estimators: exploiting independence to scale up Monte Carlo. Zbl 1477.62011
Kuntz, Juan; Crucinio, Francesca R.; Johansen, Adam M. |
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2022
|
Optimal scaling of random walk Metropolis algorithms using Bayesian large-sample asymptotics. Zbl 1484.62012
Schmon, Sebastian M.; Gagnon, Philippe |
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2022
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Graphical test for discrete uniformity and its applications in goodness-of-fit evaluation and multiple sample comparison. Zbl 1484.62010
Säilynoja, Teemu; Bürkner, Paul-Christian; Vehtari, Aki |
|
2022
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A comparison of likelihood-free methods with and without summary statistics. Zbl 1486.62003
Drovandi, Christopher; Frazier, David T. |
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2022
|
Automatic zig-zag sampling in practice. Zbl 1499.62015
Corbella, Alice; Spencer, Simon E. F.; Roberts, Gareth O. |
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2022
|
Updating variational Bayes: fast sequential posterior inference. Zbl 1477.62016
Tomasetti, Nathaniel; Forbes, Catherine; Panagiotelis, Anastasios |
|
2022
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Split Hamiltonian Monte Carlo revisited. Zbl 1496.62006
Casas, Fernando; Sanz-Serna, Jesús María; Shaw, Luke |
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2022
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Wavelet-based robust estimation and variable selection in nonparametric additive models. Zbl 1477.62003
Amato, Umberto; Antoniadis, Anestis; Feis, Italia De; Gijbels, Irène |
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2022
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Point process simulation of generalised inverse Gaussian processes and estimation of the Jaeger integral. Zbl 1477.62007
Godsill, Simon; Kındap, Yaman |
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2022
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Optimal Bayesian design for model discrimination via classification. Zbl 1484.62004
Hainy, Markus; Price, David J.; Restif, Olivier; Drovandi, Christopher |
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2022
|
Sparse functional partial least squares regression with a locally sparse slope function. Zbl 1484.62003
Guan, Tianyu; Lin, Zhenhua; Groves, Kevin; Cao, Jiguo |
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2022
|
Eigenfunction martingale estimating functions and filtered data for drift estimation of discretely observed multiscale diffusions. Zbl 1484.62001
Abdulle, Assyr; Pavliotis, Grigorios A.; Zanoni, Andrea |
|
2022
|
Importance conditional sampling for Pitman-Yor mixtures. Zbl 1486.62002
Canale, Antonio; Corradin, Riccardo; Nipoti, Bernardo |
|
2022
|
Ensemble Kalman filter based sequential Monte Carlo sampler for sequential Bayesian inference. Zbl 1482.62021
Wu, Jiangqi; Wen, Linjie; Green, Peter L.; Li, Jinglai; Maskell, Simon |
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2022
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Quantile regression feature selection and estimation with grouped variables using Huber approximation. Zbl 1496.62022
Sherwood, Ben; Li, Shaobo |
|
2022
|
Quantile hidden semi-Markov models for multivariate time series. Zbl 1495.62011
Merlo, Luca; Maruotti, Antonello; Petrella, Lea; Punzo, Antonio |
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2022
|
Interpolating log-determinant and trace of the powers of matrix \(\mathbf{A}+ t\mathbf{B}\). Zbl 1499.62010
Ameli, Siavash; Shadden, Shawn C. |
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2022
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Systematic enumeration of definitive screening designs. Zbl 1499.62032
Schoen, Eric D.; Eendebak, Pieter T.; Vazquez, Alan R.; Goos, Peter |
|
2022
|
Sequential sampling of junction trees for decomposable graphs. Zbl 1496.62019
Olsson, Jimmy; Pavlenko, Tatjana; Rios, Felix L. |
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2022
|
Latent structure blockmodels for Bayesian spectral graph clustering. Zbl 1484.62011
Sanna Passino, Francesco; Heard, Nicholas A. |
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2022
|
Co-clustering of evolving count matrices with the dynamic latent block model: application to pharmacovigilance. Zbl 1486.62008
Marchello, Giulia; Fresse, Audrey; Corneli, Marco; Bouveyron, Charles |
|
2022
|
Emulation-accelerated Hamiltonian Monte Carlo algorithms for parameter estimation and uncertainty quantification in differential equation models. Zbl 1477.62014
Paun, L. Mihaela; Husmeier, Dirk |
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2022
|
Erlang mixture modeling for Poisson process intensities. Zbl 1477.62010
Kim, Hyotae; Kottas, Athanasios |
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2022
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An explicit split point procedure in model-based trees allowing for a quick fitting of GLM trees and GLM forests. Zbl 1477.62004
Dutang, Christophe; Guibert, Quentin |
|
2022
|
Learning from missing data with the binary latent block model. Zbl 1477.62005
Frisch, Gabriel; Leger, Jean-Benoist; Grandvalet, Yves |
|
2022
|
Optimally adaptive Bayesian spectral density estimation for stationary and nonstationary processes. Zbl 1490.62017
James, Nick; Menzies, Max |
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2022
|
Sklar’s omega: a Gaussian copula-based framework for assessing agreement. Zbl 1490.62016
Hughes, John |
|
2022
|
A generalized likelihood-based Bayesian approach for scalable joint regression and covariance selection in high dimensions. Zbl 1490.62023
Samanta, Srijata; Khare, Kshitij; Michailidis, George |
|
2022
|
Parsimonious hidden Markov models for matrix-variate longitudinal data. Zbl 1490.62027
Tomarchio, Salvatore D.; Punzo, Antonio; Maruotti, Antonello |
|
2022
|
Real time anomaly detection and categorisation. Zbl 1490.62014
Fisch, Alexander T. M.; Bardwell, Lawrence; Eckley, Idris A. |
|
2022
|
Parallelizing MCMC sampling via space partitioning. Zbl 1492.62025
Hafych, Vasyl; Eller, Philipp; Schulz, Oliver; Caldwel, Allen |
|
2022
|
On the identifiability of Bayesian factor analytic models. Zbl 1484.62008
Papastamoulis, Panagiotis; Ntzoufras, Ioannis |
|
2022
|
Sequential changepoint detection in neural networks with checkpoints. Zbl 1484.62014
Titsias, Michalis K.; Sygnowski, Jakub; Chen, Yutian |
|
2022
|
GP-ETAS: semiparametric Bayesian inference for the spatio-temporal epidemic type aftershock sequence model. Zbl 1484.62007
Molkenthin, Christian; Donner, Christian; Reich, Sebastian; Zöller, Gert; Hainzl, Sebastian; Holschneider, Matthias; Opper, Manfred |
|
2022
|
Fast Bayesian inversion for high dimensional inverse problems. Zbl 1484.62005
Kugler, Benoit; Forbes, Florence; Douté, Sylvain |
|
2022
|
Multilevel estimation of normalization constants using ensemble Kalman-Bucy filters. Zbl 1493.62548
Ruzayqat, Hamza; Chada, Neil K.; Jasra, Ajay |
|
2022
|
Hierarchical sparse Cholesky decomposition with applications to high-dimensional spatio-temporal filtering. Zbl 1481.62004
Jurek, Marcin; Katzfuss, Matthias |
|
2022
|
| ...and 797 more Documents |
