Editorial Board

Editor:

P. Fearnhead, Lancaster University, UK
editor@biometrikatrust.org

Deputy Editors:

H.S. Battey, Imperial College London, UK
O. Papaspiliopoulos, Bocconi University, Italy

Associate Editors:

K. Bharath, University of Nottingham, UK
Shape analysis, Functional data analysis, Geometric statistics

G. Biau, Sorbonne University, Paris, France
Nonparametric statistics, High-dimensional statistics, Machine learning, Statistical aspects of AI

N. Chopin, ENSAE, Institut Polytechnique de Paris, France
Monte Carlo methods, Bayesian computation, Bayesian machine learning

P. Ding, University of California, Berkeley, USA
Causal Inference, Design and analysis of randomized experiments, Survey sampling, Missing data

D. B. Dunson, Duke University, USA
Bayesian statistics, Dimensionality reduction, Geometric statistics, Latent structure models, Networks

D. Durante, Bocconi University, Italy
Network models and data, Bayesian statistics, Approximate inference

D. M. Farewell, Cardiff University, UK
Longitudinal data analysis, Survival analysis, Causal inference, Missing data, Epidemiology

I. Gaynanova, University of Michigan, USA
High-dimensional data analysis, Data integration, Machine learning, Biostatistics

J. M. Gran, University of Oslo, Norway
Causal inference, Survival analysis, Biostatistics

N. R. Hansen, University of Copenhagen, Denmark 
Causal inference, Graphical models, Nonparametric statistics

N. Ignatiadis, University of Chicago, USA
Multiple testing, Selective and post-selection inference, Empirical Bayes

C. Lam, London School of Economics and Political Science, UK
Time series, High-dimensional statistics

F. Mealli, European University Institute, Italy
Causal inference, Missing data, Biostatistics

H. G. Müller, University of California, Davis, USA
Functional data analysis, Longitudinal data analysis, Metric and geometric statistics

H. Ogden, University of Southampton, UK
Flexible regression models, Approximate inference, Computational statistics

V. M. Panaretos, EPFL, Switzerland
Functional data analysis, Geometric statistics, Inference for stochastic processes, Statistical inverse problems

R. D. Shah, University of Cambridge, UK
High-dimensional statistics, Causal inference

A. Shojaie, University of Washington, USA
Statistical machine learning, High-dimensional statistics, Network models and data

G. Stupfler, University of Angers, France
Extreme value analysis, Time series, Nonparametric statistics

P. Toulis, University of Chicago, USA 
Causal inference, Randomization methods, Stochastic optimization

I. Van Keilegom, KU Leuven, Belgium
Survival analysis, Nonparametric statistics, Flexible regression models

J. L. Wadsworth, Lancaster University, UK
Extreme value analysis, Spatial statistics

S. Wager, Stanford Graduate School of Business, USA
Machine learning, Causal inference, Randomization methods, Empirical Bayes

J.-L. Wang, University of California, Davis, USA
Survival analysis, Machine learning, Functional data analysis, Causal inference

A. T. A. Wood, Australian National University, Australia
Nonparametric statistics, Inference for stochastic processes, Shape analysis

G. A. Young, Imperial College London, UK
Resampling methods, Likelihood theory, Approximation methods, Selective inference

Y. Yu, University of Warwick, UK
High-dimensional statistics, Network models and data, Changepoint and anomaly detection, Differential privacy analysis

P. Zwiernik, University of Toronto, Canada
High-dimensional statistics, Graphical models, Algebraic statistics