1. Moment-based density estimation of confidential micro-data: a computational statistics approach

   • Bradley Wakefield
   • Yan-Xia Lin
   • Krishnamurty Muralidhar

   Original Paper Open access 20 January 2023 Article: 35

   

2. On randomized sketching algorithms and the Tracy–Widom law

   • Daniel Ahfock
   • William J. Astle
   • Sylvia Richardson

   OriginalPaper Open access 19 January 2023 Article: 34

   

3. Modularized Bayesian analyses and cutting feedback in likelihood-free inference

   • Atlanta Chakraborty
   • David J. Nott
   • Scott A. Sisson

   Manuscript 19 January 2023 Article: 33

   

4. Moments and random number generation for the truncated elliptical family of distributions

   • Katherine A. L. Valeriano
   • Christian E. Galarza
   • Larissa A. Matos

   Original Paper 04 January 2023 Article: 32

   

5. Entropic herding

   • Hiroshi Yamashita
   • Hideyuki Suzuki
   • Kazuyuki Aihara

   Original Paper Open access 04 January 2023 Article: 31

   

6. Truncated Poisson–Dirichlet approximation for Dirichlet process hierarchical models

   • Junyi Zhang
   • Angelos Dassios

   Original Paper Open access 04 January 2023 Article: 30

   

7. On proportional volume sampling for experimental design in general spaces

   • Arnaud Poinas
   • Rémi Bardenet

   OriginalPaper 31 December 2022 Article: 29

   

8. Structure-based hyperparameter selection with Bayesian optimization in multidimensional scaling

   • Thomas Rusch
   • Patrick Mair
   • Kurt Hornik

   Original Paper Open access 26 December 2022 Article: 28

   

9. Variable selection using conditional AIC for linear mixed models with data-driven transformations

   • Yeonjoo Lee
   • Natalia Rojas-Perilla
   • Timo Schmid

   OriginalPaper Open access 26 December 2022 Article: 27

   

10. Fast and universal estimation of latent variable models using extended variational approximations

    • Pekka Korhonen
    • Francis K. C. Hui
    • Sara Taskinen

    Original Paper Open access 24 December 2022 Article: 26

    

11. Parallelized integrated nested Laplace approximations for fast Bayesian inference

    • Lisa Gaedke-Merzhäuser
    • Janet van Niekerk
    • Håvard Rue

    Original Paper 24 December 2022 Article: 25

    

12. Correction to : Variational inference and sparsity in high-dimensional deep Gaussian mixture models

    • Lucas Kock
    • Nadja Klein
    • David J.Nott

    Correction Open access 21 December 2022 Article: 24

13. GParareal: a time-parallel ODE solver using Gaussian process emulation

    • Kamran Pentland
    • Massimiliano Tamborrino
    • L. C. Appel

    OriginalPaper Open access 21 December 2022 Article: 23

    

14. Direct sampling with a step function

    • Andrew M. Raim

    Original Paper 21 December 2022 Article: 22

    

15. Detecting renewal states in chains of variable length via intrinsic Bayes factors

    • Victor Freguglia
    • Nancy L. Garcia

    Original Paper 21 December 2022 Article: 21

    

16. Flexible tree-structured regression models for discrete event times

    • Nikolai Spuck
    • Matthias Schmid
    • Moritz Berger

    Original Paper Open access 21 December 2022 Article: 20

    

17. Bayesian parameter inference for partially observed stochastic differential equations driven by fractional Brownian motion

    • Mohamed Maama
    • Ajay Jasra
    • Hernando Ombao

    Original Paper 19 December 2022 Article: 19

    

18. Variational inference with vine copulas: an efficient approach for Bayesian computer model calibration

    • Vojtech Kejzlar
    • Tapabrata Maiti

    Original Paper 19 December 2022 Article: 18

    

19. Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming

    • Gabriel Riutort-Mayol
    • Paul-Christian Bürkner
    • Aki Vehtari

    Originalpaper Open access 14 December 2022 Article: 17

    

20. Automatic model training under restrictive time constraints

    • Lukas Cironis
    • Jan Palczewski
    • Georgios Aivaliotis

    Original Paper Open access 13 December 2022 Article: 16

    

21. Sparse logistic functional principal component analysis for binary data

    • Rou Zhong
    • Shishi Liu
    • Jingxiao Zhang

    Original Paper 11 December 2022 Article: 15

    

22. Performance analysis of greedy algorithms for minimising a Maximum Mean Discrepancy

    • Luc Pronzato

    OriginalPaper 07 December 2022 Article: 14

    

23. Shape modeling with spline partitions

    • Shufei Ge
    • Shijia Wang
    • Lloyd Elliott

    OriginalPaper 04 December 2022 Article: 13

    

24. Stochastic cluster embedding

    • Zhirong Yang
    • Yuwei Chen
    • Jukka Corander

    OriginalPaper Open access 04 December 2022 Article: 12

    

25. Prediction scoring of data-driven discoveries for reproducible research

    • Anna L. Smith
    • Tian Zheng
    • Andrew Gelman

    Original Paper Open access 02 December 2022 Article: 11

    

26. Bayesian A-optimal two-phase designs with a single blocking factor in each phase

    • Nha Vo-Thanh
    • Hans-Peter Piepho

    OriginalPaper Open access 01 December 2022 Article: 10

    

27. Model-free global likelihood subsampling for massive data

    • Si-Yu Yi
    • Yong-Dao Zhou

    OriginalPaper 01 December 2022 Article: 9

    

28. Sticky PDMP samplers for sparse and local inference problems

    • Joris Bierkens
    • Sebastiano Grazzi
    • Moritz Schauer

    Original Paper Open access 28 November 2022 Article: 8

    

29. Constructing two-level \(Q_B\)-optimal screening designs using mixed-integer programming and heuristic algorithms

    • Alan R. Vazquez
    • Weng Kee Wong
    • Peter Goos

    Original Paper 25 November 2022 Article: 7

    

30. Variance reduction for Metropolis–Hastings samplers

    • Angelos Alexopoulos
    • Petros Dellaportas
    • Michalis K. Titsias

    OriginalPaper Open access 25 November 2022 Article: 6

    

31. LASSO for streaming data with adaptative filtering

    • Marco Capó
    • Aritz Pérez
    • José A. Lozano

    OriginalPaper 24 November 2022 Article: 5

    

32. Efficient simulation of p-tempered \(\alpha \)-stable OU processes

    • Michael Grabchak
    • Piergiacomo Sabino

    Original Paper 24 November 2022 Article: 4

    

33. Bayesian learning via neural Schrödinger–Föllmer flows

    • Francisco Vargas
    • Andrius Ovsianas
    • Nikolas Nüsken

    OriginalPaper Open access 23 November 2022 Article: 3

    

34. Robust discrete choice models with t-distributed kernel errors

    • Rico Krueger
    • Michel Bierlaire
    • Prateek Bansal

    Original Paper 18 November 2022 Article: 2

    

35. Automatic search intervals for the smoothing parameter in penalized splines

    • Zheyuan Li
    • Jiguo Cao

    Original Paper 18 November 2022 Article: 1