Bayesian inference of sparsity in stationary, multivariate autoregressive processes
Sarah Heaps
Durham University, United Kingdom
Darren Wilkinson, Durham University, UK
Ian Jermyn, Durham University, UK
Yujiang Wang, Newcastle University, UK
Sequential Gaussian Processes for Online Learning of Nonstationary Functions
Michael Minyi Zhang
University of Hong Kong, Hong Kong
Bianca Dumitrascu, Columbia University, USA
Sinead Williamson, Apple Research, USA
Barbara Engelhardt, Stanford University, USA
Bayesian inference for oscillatory systems using the pcLNA algorithms
Ben Swallow
University of St Andrews, United Kingdom
Giorgos Minas, University of St Andrews, UK
David Rand, University of Warwick, UK
Vecchia Gaussian processes: Probabilistic properties, minimax rates and methodological developments
Yichen Zhu
Università Bocconi, Italy
Botond Szabo, Bocconi University, Italy
Exchangeable random permutations for graph matching
Francesco Gaffi
University of Maryland, College Park, United States
Nathaniel Josephs, North Carolina State University, Raleigh, USA
Lizhen Lin, University of Maryland, College Park, USA
Variable Ordering in a Cholesky-MSV model for stock market data
Martina Zaharieva
CUNEF Universidad, Spain
Ping Wu, University of Strathclyde, Glasgow, UK
Characterization of exchangeable Hoeffding decomposable sequences
Hristo Sariev
Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, Bulgaria
Mladen Savov, Sofia University "St. Kliment Ohridski", Bulgaria
Stefan Gerdjikov, Sofia University "St. Kliment Ohridski", Bulgaria
The Wiener disorder problem with random post-disorder drift
Bruno Buonaguidi
Università Cattolica del Sacro Cuore, sede di Milano, Italy
Francesco Ballarin, Università Cattolica del Sacro Cuore, sede di Brescia, Italy
MMAF-guided learning for spatio-temporal data
Imma Valentina Curato
TU Chemnitz, Germany
Modeling Neural Switching via Drift-Diffusion Models
Nicholas Marco
Duke University, United States
Jennifer M. Groh, Duke University, USA
Surya T. Tokdar, Duke University, USA
Bayesian Sequential Batch Design with Hierarchical Gaussian Processes
Shuang Zhou
School of Mathematical and Statistical Sciences, Arizona State University, United States
Ping-Han Huang, Arizona State University, USA
MIng-Huang Gao, Arizona State University, USA
Gaussian Invariance in Markov Chain Monte Carlo
Angelos Alexopoulos
Athens University of Economics and Business, Greece
Michalis Titsias, Google Deep Mind, UK
Petros Dellaportas, UCL & Athens University of Economics and Business, UK
Siran Liu, UCL, UK
Bayesian inference from time series of allele frequency data using exact simulation techniques
Jaromir Sant
Universita degli Studi di Torino, Italy
Paul A. Jenkins, University of Warwick, UK
Jere Koskela, University of Warwick & Newcastle University, UK
Dario Spanò, University of Warwick, UK
Bayesian Hierarchical Spatio-Temporal Modelling of Extremes Using the Blended GEV Distribution
Fernando Mayer
Maynooth University, Ireland
Niamh Cahill, Maynooth University, Ireland
Bayesian Markov-Switching Partial Reduced-Rank Regression
Matteo Iacopini
Luiss University of Rome, Italy
Maria F. Pintado Serrano, Queen Mary University of London, UK
Luca Rossini, University of Milan, Italy
Alexander Y. Shestopaloff, Queen Mary University of London, UK
Linear reversible processes and the three-parameter distribution of random integer partitions
Sergey Sosnovskiy
independent, formerly at Frankfurt School, Germany
Bayesian Inference for Site-Dependent Evolutionary Models: Applications to Vaccine Design
Scott C. Schmidler
Duke University, Department of Statistical Science, United States