Computation Papers

New Computation papers from algorithms, simulation, visualization. Thank you to arXiv for use of its open access interoperability.

[Computation Papers @StatisticsCO]

fdWasserstein: Optimal Transport Methods for Covariance Operators of Functional Data

V. Masarotto
https://t.co/X9pjlV56TG [𝚜𝚝𝚊𝚝.𝙲𝙾]

[Computation Papers @StatisticsCO]

Favourable Missingness in Semi-Supervised Classification for Exponential Mixture Models

Huanchao Zhou, Jinran Wu, Fariborz Setoudehtazang, Geoffrey J. McLachlan
https://t.co/EqHq1Hmin4 [𝚜𝚝𝚊𝚝.𝙲𝙾 𝚖𝚊𝚝𝚑.𝚂𝚃]

[Computation Papers @StatisticsCO]

Comprehensive Regression and Diagnostics for Non-Negative Data Using the BCSreg Package

Francisco F. Queiroz, Rodrigo M. R. de Medeiros
https://t.co/lOfcKhD6B7 [𝚜𝚝𝚊𝚝.𝙲𝙾]

[Computation Papers @StatisticsCO]

A Complexity Bound for the Kent-Ganeiber-Mardia Sampler for the Bingham Distribution

Sam Power
https://t.co/VYLNx8Ncbe [𝚜𝚝𝚊𝚝.𝙲𝙾 𝚖𝚊𝚝𝚑.𝚂𝚃]

[Computation Papers @StatisticsCO]

skchange: Fast and Flexible Algorithms for Changepoint Detection

Martin Tveten, Johannes Voll Kolstø, Per August Jarval Moen
https://t.co/LRbiPWrxZp [𝚜𝚝𝚊𝚝.𝙲𝙾 𝚌𝚜.𝙻𝙶]

[Computation Papers @StatisticsCO]

Heteroscedastic Neural Surrogate Modeling for Robust and Rapid Bayesian Inference in Fusion Plasma Diagnostics

Liyun Zhang, Naoya Mamada, Kentaro Sakai, Takeo Hoshi, Toru Aonishi
https://t.co/ImOWn7cH59 [𝚜𝚝𝚊𝚝.𝙲𝙾 𝚌𝚜.𝙻𝙶]

[Computation Papers @StatisticsCO]

Convex Reparameterization and Self-Concordant Algorithms for Multivariate Regression with Covariance Estimation

Hongru Zhao, Huiqian Feng
https://t.co/ghtMB8tljA [𝚜𝚝𝚊𝚝.𝙲𝙾 𝚜𝚝𝚊𝚝.𝙼𝙴]

[Computation Papers @StatisticsCO]

The Snake Algorithm: A Rejection-Free Sampler for Binary Matrices with Fixed Margins

Zipei Nie, Guanyang Wang, Peng Zhang
https://t.co/CBFNaTAX2r [𝚜𝚝𝚊𝚝.𝙲𝙾]

[Computation Papers @StatisticsCO]

Randomized quasi-Monte Carlo integration

Art B. Owen
https://t.co/AitkMWfWfw [𝚜𝚝𝚊𝚝.𝙲𝙾 𝚖𝚊𝚝𝚑.𝙽𝙰]

[Computation Papers @StatisticsCO]

Bessel-Debiased Pseudo-Marginal MCMC for Generalised Bayesian Inference

Yingkai Lu, Jeong Eun Lee, Geoff K. Nicholls
https://t.co/YISAHF3jpR [𝚜𝚝𝚊𝚝.𝙲𝙾 𝚜𝚝𝚊𝚝.𝙼𝙴]

[Computation Papers @StatisticsCO]

Stable Matrix Parametrizations and Structured Adjoints for Ornstein-Uhlenbeck Processes

Filippo Monti, Andrew Holbrook, Nathan E. Glatt-Holtz, Marc A. Suchard
https://t.co/zdjsmC7nS8 [𝚜𝚝𝚊𝚝.𝙲𝙾 𝚜𝚝𝚊𝚝.𝙼𝙴]

[Computation Papers @StatisticsCO]

Hierarchical Bayesian Calibration with Bayesian Committee Machine

Sebastian Heinekamp, David M. Higdon, Andreas Adelmann
https://t.co/ax7B4GZu39 [𝚜𝚝𝚊𝚝.𝙲𝙾 𝚙𝚑𝚢𝚜𝚒𝚌𝚜.𝚍𝚊𝚝𝚊-𝚊𝚗]

[Computation Papers @StatisticsCO]

Distributed Stochastic Smoothing ADMM for Penalized Quantile Regression

Rongmei Liang, Xiaofei Wu
https://t.co/kP9c8YTtaV [𝚜𝚝𝚊𝚝.𝙲𝙾]

[Computation Papers @StatisticsCO]

Learning Latent Memory States from Longitudinal Athlete Monitoring Data

Dae-Jin Lee
https://t.co/3ZrlUHY0HS [𝚜𝚝𝚊𝚝.𝙲𝙾 𝚜𝚝𝚊𝚝.𝙼𝙴 𝚜𝚝𝚊𝚝.𝙼𝙻]

[Computation Papers @StatisticsCO]

Structured Dimension-Matched Joint Variational Transdimensional Inference

Pingping Yin, Xiyun Jiao
https://t.co/mBYokXTsf5 [𝚜𝚝𝚊𝚝.𝙲𝙾 𝚜𝚝𝚊𝚝.𝙼𝙴 𝚜𝚝𝚊𝚝.𝙼𝙻]

[Computation Papers @StatisticsCO]

From Continuous Dynamics to Practical Gradient-Based Samplers

James Chok
https://t.co/eHZGZGaOsb [𝚜𝚝𝚊𝚝.𝙲𝙾 𝚜𝚝𝚊𝚝.𝙼𝙴]

[Computation Papers @StatisticsCO]

Diffeomorphic Markov Chain Monte Carlo: fast mixing for heavy-tailed distributions

Miha Brešar, Aleksandar Mijatović
https://t.co/jEQx9MplJs [𝚜𝚝𝚊𝚝.𝙲𝙾 𝚖𝚊𝚝𝚑.𝙿𝚁]

[Computation Papers @StatisticsCO]

Wasserstein mixing time of the unadjusted Langevin algorithm

Francesco Pedrotti, Peter A. Whalley
https://t.co/ExbsSueeSe [𝚜𝚝𝚊𝚝.𝙲𝙾 𝚌𝚜.𝙻𝙶 𝚖𝚊𝚝𝚑.𝙽𝙰 𝚖𝚊𝚝𝚑.𝙿𝚁]

[Computation Papers @StatisticsCO]

scikit-covtest: Covariance Matrix Hypothesis Testing in Python

Austin Talbot, Ilha Hwang, Cristina Trevino, Alex V Kotlar
https://t.co/81Y6EmOMrG [𝚜𝚝𝚊𝚝.𝙲𝙾]

[Computation Papers @StatisticsCO]

The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software

Madelyn Andersen, Elizabeth Bersson, Tamara Broderick
https://t.co/pkoYNmTA8r [𝚜𝚝𝚊𝚝.𝙲𝙾]