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Currently displaying 81 - 100 of 2100 publications

Existence and breakdown analysis of M-quantiles in general Hilbert spaces

D Konen, D Paindaveine

– Electronic Journal of Statistics

(2025)

19,

5778

(doi: 10.1214/25-ejs2472)

A Graphical Approach to State Variable Selection in Off-policy Learning

JB Andersen, Q Zhao

(2025)

(link to publication)

The Sample Complexity of Distributed Simple Binary Hypothesis Testing under Information Constraints

H Kazemi, A Pensia, V Jog

– Proceedings of Machine Learning Research

(2025)

291,

(link to publication)

Branching random walks and Minkowski sum of random walks

A Asselah, I Okada, B Schapira, P Sousi

– Probability Theory and Related Fields

(2024)

191,

1289

(doi: 10.1007/s00440-024-01352-7)

Why probability probably doesn't exist (but it is useful to act like it does).

D Spiegelhalter

– Nature

(2024)

636,

560

(doi: 10.1038/d41586-024-04096-5)

BAE-ViT: An Efficient Multimodal Vision Transformer for Bone Age Estimation

J Zhang, W Chen, T Joshi, X Zhang, P-L Loh, V Jog, RJ Bruce, JW Garrett, AB McMillan

– Tomography (Ann Arbor, Mich.)

(2024)

10,

2058

(doi: 10.3390/tomography10120146)

The Multimodal Universe: 100 TB of Machine Learning Ready Astronomical Data

E Angeloudi, J Audenaert, M Bowles, BM Boyd, D Chemaly, B Cherinka, I Ciucă, M Cranmer, A Do, M Grayling, EE Hayes, T Hehir, S Ho, M Huertas-Company, KG Iyer, M Jablonska, F Lanusse, HW Leung, K Mandel, JR Martínez-Galarza, P Melchior, L Meyer, LH Parker, H Qu, J Shen, MJ Smith, M Walmsley, JF Wu, TMU Collaboration

– Research Notes of the AAS

(2024)

301

(doi: 10.3847/2515-5172/ad9a63)

The projected covariance measure for assumption-lean variable significance testing

AR Lundborg, I Kim, RD Shah, RJ Samworth

– Annals of Statistics

(2024)

52,

2851

(doi: 10.1214/24-aos2447)

Phase transition for random walks on graphs with added weighted random matching

Z Baran, J Hermon, A Šarković, P Sousi

– Probability Theory and Related Fields

(2024)

193,

989

(doi: 10.1007/s00440-024-01342-9)

Six Maxims of Statistical Acumen for Astronomical Data Analysis

H Tak, Y Chen, VL Kashyap, KS Mandel, X-L Meng, A Siemiginowska, DA van Dyk

– The Astrophysical Journal Supplement Series

(2024)

275,

(doi: 10.3847/1538-4365/ad8440)

The ODE Method for Asymptotic Statistics in Stochastic Approximation and Reinforcement Learning

V Borkar, S Chen, A Devraj, I Kontoyiannis, S Meyn

(2024)

(doi: 10.48550/arxiv.2110.14427)

Hyperbolic Site Percolation

GR Grimmett, Z Li

– Random Structures & Algorithms

(2024)

66,

e21262

(doi: 10.1002/rsa.21262)

Hyperbolic site percolation

GR Grimmett, Z Li

– Random structures & algorithms (Print)

(2024)

66,

e21262

(doi: 10.1002/rsa.21262)

Hawai‘i Supernova Flows: a peculiar velocity survey using over a Thousand Supernovae in the near-infrared

A Do, BJ Shappee, JL Tonry, RB Tully, T de Jaeger, D Rubin, C Ashall, CR Burns, DD Desai, JT Hinkle, WB Hoogendam, ME Huber, DO Jones, KS Mandel, AV Payne, ER Peterson, D Scolnic, MA Tucker

– Monthly Notices of the Royal Astronomical Society

(2024)

536,

624

(doi: 10.1093/mnras/stae2501)

Randomly Twisted Hypercubes: Between Structure and Randomness

I Benjamini, Y Dikstein, R Gross, M Zhukovskii

– Random Structures & Algorithms

(2024)

66,

e21267

(doi: 10.1002/rsa.21267)