Statistics and computing

Keyphrases

Publications

volume 34, number 4, 2024

Brieuc Lehmann, Simon White
A Bayesian multilevel model for populations of networks using exponential-family random graphs. Statistics and computing 34 (4) (2024)
Brieuc Lehmann, Simon White
A Bayesian multilevel model for populations of networks using exponential-family random graphs. Statistics and computing 34 (4) (2024)
Brieuc Lehmann, Simon White
A Bayesian multilevel model for populations of networks using exponential-family random graphs. Statistics and computing 34 (4) (2024)
Brieuc Lehmann, Simon White
A Bayesian multilevel model for populations of networks using exponential-family random graphs. Statistics and computing 34 (4) (2024)

volume 33, number 1, 2023

Daniel Ahfock, William J Astle, Sylvia Richardson
On randomized sketching algorithms and the Tracy-Widom law. Statistics and computing 33 (1) (2023)
Daniel Ahfock, William J Astle, Sylvia Richardson
On randomized sketching algorithms and the Tracy-Widom law. Statistics and computing 33 (1) (2023)
Daniel Ahfock, William J Astle, Sylvia Richardson
On randomized sketching algorithms and the Tracy-Widom law. Statistics and computing 33 (1) (2023)
Daniel Ahfock, William J Astle, Sylvia Richardson
On randomized sketching algorithms and the Tracy-Widom law. Statistics and computing 33 (1) (2023)
Daniel Ahfock, William J Astle, Sylvia Richardson
On randomized sketching algorithms and the Tracy-Widom law. Statistics and computing 33 (1) (2023)

volume 33, number 2, 2023

Marko Järvenpää, Jukka Corander
On predictive inference for intractable models via approximate Bayesian computation. Statistics and computing 33 (2) (2023)
Marko Järvenpää, Jukka Corander
On predictive inference for intractable models via approximate Bayesian computation. Statistics and computing 33 (2) (2023)

volume 33, number 3, 2023

volume 33, number 4, 2023

Ben Bettisworth, Alexander I Jordan, Alexandros Stamatakis
Phylourny: efficiently calculating elimination tournament win probabilities via phylogenetic methods. Statistics and computing 33 (4) (2023)
Pete Philipson, Alan Huang
A fast look-up method for Bayesian mean-parameterised Conway-Maxwell-Poisson regression models. Statistics and computing 33 (4) (2023)

volume 33, number 5, 2023

Samuel I Watson, Yi Pan
Evaluation of combinatorial optimisation algorithms for c-optimal experimental designs with correlated observations. Statistics and computing 33 (5) (2023)

volume 33, number 1, 2022

Zheyuan Li, Jiguo Cao
Automatic search intervals for the smoothing parameter in penalized splines. Statistics and computing 33 (1) (2022)

volume 32, number 1, 2022

Flávio Bambirra Gonçalves, Lívia M Dutra, Roger W C Silva
Exact and computationally efficient Bayesian inference for generalized Markov modulated Poisson processes. Statistics and computing 32 (1) (2022)

volume 32, number 2, 2022

Sebastian M Schmon, Philippe Gagnon
Optimal scaling of random walk Metropolis algorithms using Bayesian large-sample asymptotics. Statistics and computing 32 (2) (2022)
Markus Hainy, David J Price, Olivier Restif, Christopher C Drovandi
Optimal Bayesian design for model discrimination via classification. Statistics and computing 32 (2) (2022)
Andrew A Manderson, Robert J B Goudie
A numerically stable algorithm for integrating Bayesian models using Markov melding. Statistics and computing 32 (2) (2022)
Assyr Abdulle, Grigorios A Pavliotis, Andrea Zanoni
Eigenfunction martingale estimating functions and filtered data for drift estimation of discretely observed multiscale diffusions. Statistics and computing 32 (2) (2022)

volume 32, number 3, 2022

Srijata Samanta, Kshitij Khare, George Michailidis
A generalized likelihood-based Bayesian approach for scalable joint regression and covariance selection in high dimensions. Statistics and computing 32 (3) (2022)
Lucas Kook, Beate Sick, Peter Bühlmann
Distributional anchor regression. Statistics and computing 32 (3) (2022)
Srijata Samanta, Kshitij Khare, George Michailidis
A generalized likelihood-based Bayesian approach for scalable joint regression and covariance selection in high dimensions. Statistics and computing 32 (3) (2022)
Salvatore D Tomarchio, Antonio Punzo, Antonello Maroutti
Parsimonious hidden Markov models for matrix-variate longitudinal data. Statistics and computing 32 (3) (2022)
Srijata Samanta, Kshitij Khare, George Michailidis
A generalized likelihood-based Bayesian approach for scalable joint regression and covariance selection in high dimensions. Statistics and computing 32 (3) (2022)

volume 32, number 4, 2022

Stéphane Girard, Gilles Stupfler, Antoine Usseglio-Carleve
On automatic bias reduction for extreme expectile estimation. Statistics and computing 32 (4) (2022)
Luca Merlo, Antonello Maruotti, Lea Petrella, Antonio Punzo
Quantile hidden semi-Markov models for multivariate time series. Statistics and computing 32 (4) (2022)

volume 32, number 5, 2022

Cunjie Lin, Nan Qiao, Wenli Zhang, Yang Li, Shuangge Ma
Default risk prediction and feature extraction using a penalized deep neural network. Statistics and computing 32 (5) (2022)
Nan Zhang, Muye Nanshan, Jiguo Cao
A Joint estimation approach to sparse additive ordinary differential equations. Statistics and computing 32 (5) (2022)
Benjamin J Zhang, Youssef M Marzouk, Konstantinos Spiliopoulos
Geometry-informed irreversible perturbations for accelerated convergence of Langevin dynamics. Statistics and computing 32 (5) (2022)

volume 32, number 6, 2022

Xiaoyu Ma, Sylvain Sardy, Nick Hengartner, Nikolai Bobenko, Yen Ting Lin
A phase transition for finding needles in nonlinear haystacks with LASSO artificial neural networks. Statistics and computing 32 (6) (2022)
Swapnil Mishra, Seth Flaxman, Tresnia Berah, Harrison Zhu, Mikko Pakkanen, Samir Bhatt
π VAE: a stochastic process prior for Bayesian deep learning with MCMC. Statistics and computing 32 (6) (2022)
Siavash Ameli, Shawn C Shadden
Interpolating log-determinant and trace of the powers of matrix A + t B . Statistics and computing 32 (6) (2022)

volume 32, number 1, 2021

Luis A García-Escudero, Agustín Mayo-Iscar, Marco Riani
Constrained parsimonious model-based clustering. Statistics and computing 32 (1) (2021)

volume 32, 2021

Yang Liu, Robert J B Goudie
Stochastic approximation cut algorithm for inference in modularized Bayesian models. Statistics and computing 32 (2021)

volume 31, number 1, 2021

Andrew J Holbrook, Charles E Loeffler, Seth R Flaxman, Marc A Suchard
Scalable Bayesian inference for self-excitatory stochastic processes applied to big American gunfire data. Statistics and computing 31 (1) (2021)

volume 31, number 2, 2021

Mark J Meyer, Elizabeth J Malloy, Brent A Coull
Bayesian Wavelet-packet Historical Functional Linear Models. Statistics and computing 31 (2) (2021)

volume 31, number 3, 2021

Santeri Karppinen, Matti Vihola
Conditional particle filters with diffuse initial distributions. Statistics and computing 31 (3) (2021)

volume 31, number 5, 2021

Jacob Vorstrup Goldman, Sumeetpal S Singh
Spatiotemporal blocking of the bouncy particle sampler for efficient inference in state-space models. Statistics and computing 31 (5) (2021)
Thomas Maullin-Sapey, Thomas E Nichols
Fisher Scoring for crossed factor linear mixed models. Statistics and computing 31 (5) (2021)
Yu Luo, David A Stephens
Bayesian inference for continuous-time hidden Markov models with an unknown number of states. Statistics and computing 31 (5) (2021)

volume 30, number 5, 2020

Joonha Park, Edward L Ionides
Inference on high-dimensional implicit dynamic models using a guided intermediate resampling filter. Statistics and computing 30 (5) (2020)

volume 30, number 6, 2020

Hans Kersting, T J Sullivan, Philipp Hennig
Convergence rates of Gaussian ODE filters. Statistics and computing 30 (6) (2020)

volume 30, number 1, 2019

Peter F Craigmile, Debashis Mondal
Estimation of long-range dependence in gappy Gaussian time series. Statistics and computing 30 (1) (2019)

volume 30, number 3, 2019

Fan Wang, Sach Mukherjee, Sylvia Richardson, Steven M Hill
High-dimensional regression in practice: an empirical study of finite-sample prediction, variable selection and ranking. Statistics and computing 30 (3) (2019)
Richard G Everitt, Richard Culliford, Felipe Medina-Aguayo, Daniel J Wilson
Sequential Monte Carlo with transformations. Statistics and computing 30 (3) (2019)
Evelyn Buckwar, Massimiliano Tamborrino, Irene Tubikanec
Spectral density-based and measure-preserving ABC for partially observed diffusion processes. An illustration on Hamiltonian SDEs. Statistics and computing 30 (3) (2019)

volume 29, number 1, 2017

Jingnan Xue, Faming Liang
Double-Parallel Monte Carlo for Bayesian Analysis of Big Data. Statistics and computing 29 (1) (2017)