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Currently displaying 21 - 40 of 2040 publications

Nonparametric inference under shape constraints: past, present and future

RJ Samworth

(2025)

(link to publication)

Conditions for equality and stability in Shannon's and Tao's entropy power inequalities

L Gavalakis, I Kontoyiannis

(2025)

(doi: 10.48550/arxiv.2509.14021)

Parity questions in critical planar Brownian loop-soups (or “where did the free planar bosons go?”)

M Lehmkuehler, W Qian, W Werner

– Probability Theory and Related Fields

(2025)

(doi: 10.1007/s00440-025-01418-0)

On low frequency inference for diffusions without the hot spots conjecture

GS Alberti, D Barnes, A Jambhale, R Nickl

– Mathematical Statistics and Learning

(2025)

305

(doi: 10.4171/msl/53)

The Bayesian Context Trees State Space Model for time series modelling and forecasting

I Papageorgiou, I Kontoyiannis

(2025)

(doi: 10.48550/arxiv.2308.00913)

The Bayesian context trees state space model for time series modelling and forecasting

I Papageorgiou, I Kontoyiannis

– International Journal of Forecasting

(2025)

(doi: 10.1016/j.ijforecast.2025.07.009)

Latent confounding in high-dimensional nonlinear models

Y Wang, R Shah

(2025)

(link to publication)

Non-self-touching paths in plane graphs

GR Grimmett

– Annales de l’Institut Henri Poincaré D, Combinatorics, Physics and their Interactions

(2025)

(doi: 10.4171/aihpd/214)

Editorial: Special Issue on “Learning Across Distribution Shifts”

S Kpotufe, RJ Samworth, Y Sun

– Statistical Science

(2025)

40,

347

(doi: 10.1214/25-STS1010)

False discovery rate control with compound p-values

RF Barber, RJ Samworth

(2025)

(link to publication)

Relative entropy bounds for sampling with and without replacement

O Johnson, L Gavalakis, I Kontoyiannis

– Journal of Applied Probability

(2025)

62,

(doi: 10.1017/jpr.2025.27)

Causal mediation analysis for time-varying heritable risk factors with Mendelian randomization

Z Wu, E Lewis, Q Zhao, J Wang

– Nature Communications

(2025)

16,

6945

(doi: 10.1038/s41467-025-61648-7)

Estimating maximal symmetries of regression functions via subgroup lattices

LG Christie, JAD Aston

– Journal of The Royal Statistical Society Series B-statistical Methodology

(2025)

87,

1576

(doi: 10.1093/jrsssb/qkaf031)

Bayesian causal discovery: Posterior concentration and optimal detection

V Lungu, J Shaska, I Kontoyiannis, U Mitra

(2025)

(link to publication)

Short-term animal product dietary restriction alters metabolic profiles and modulates immune function

A Dimas, A Palaiokrassa, S Assiedu, A Simistiras, P Barmpounakis, S Glentis, M Anezaki, K Bergersen, I Chatzimichalis, E Kotsanopoulou, I Kontoyiannis, N Demiris, P Rouskas, N Scarmeas, M Yannakoulia, M Verykokakis, M Nair, K Rouskas, E Loizidou

(2025)

(doi: 10.21203/rs.3.rs-7075476/v1)

Cyclical evolution of centromere architecture across 193 eukaryote species

I Henderson, P Włodzimierz, E Perez-Roman, M Hong, M Zhang, L Oliveira, J Gonzalez-Isa, K Jenike, R Burns, C Zhou, S Koppera, M Becker, N Gorringe, P Novak, Y Mata-Sucre, I Kontoyiannis, M Blaxter, A Marques, J Macas, A Bousios, R Durbin

(2025)

(doi: 10.21203/rs.3.rs-7008504/v1)

David Spiegelhalter’s contribution to the Discussion of ‘Some statistical aspects of the COVID-19 response’ by Wood et al.

D Spiegelhalter

– Journal of the Royal Statistical Society Series A: Statistics in Society

(2025)

189,

107

(doi: 10.1093/jrsssa/qnaf105)

Characterising the Standardisation Properties of Type Ia Supernovae in the z band with Hierarchical Bayesian Modelling

EE Hayes, S Dhawan, KS Mandel, DO Jones, RJ Foley, S Thorp, M Grayling, SM Ward, A Do, D Langeroodi, N Earl, KM de Soto, G Narayan, K Auchettl, T de Boer, KC Chambers, DA Coulter, C Gall, H Gao, L Izzo, C-C Lin, EA Magnier, A Rest, Q Wang

– Monthly Notices of the Royal Astronomical Society

(2025)

541,

1948

(doi: 10.1093/mnras/staf1056)

Local times and capacity for transient branching random walks

A Asselah, B Schapira, P Sousi

– Probability Theory and Related Fields

(2025)

(doi: 10.1007/s00440-025-01378-5)

Deep learning with missing data

T Ma, T Wang, RJ Samworth