Research Articleposted 2025-12-17 13:56:29
Nonparametric Learning of Covariate-based Markov Jump Processes Using RKHS Techniques
yuchen han, Riten Mitra, Arnab Ganguly
Under Review
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Research Articleposted 2025-12-05 04:32:42
Multi-Dimensional Integral Fractional Ornstein-Uhlenbeck Process with Application on Animal Movement
Jose Hermenegildo Ramirez Gonzalez, Erick A. Chacón-Montalván, Paula Moraga, Ying Sun
Under Review
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Research Articleposted 2025-11-17 23:15:14
Curve Correlation
Philip T. Reiss, Biplab Paul, Noemi Foa, Dror Arbiv, Thaddeus Tarpey
Under Review
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Research Articleposted 2025-11-14 16:04:56
Online Updated Learning for Extremiles via Parametric Quantile Estimation
Jia-Yuan Liang, Rong Jiang, Xin-Yi Wang, Yan-Bin Zhao
Under Review
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Research Articleposted 2025-11-13 13:28:27
Volatility Forecasting with SVD Derived Covariance Features: A Deep Learning Approach
Ahmad Koman
Under Review
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Research Articleposted 2025-11-12 07:28:13
Robust distributional neural additive models for location, scale and shape
Tobias Weckop, Anton Thielmann, Benjamin Säfken, Andreas Mayr, Tobias Hepp
Under Review
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Research Articleposted 2025-10-29 07:18:33
When the whole is greater than the sum of its parts: Scaling black-box inference to large data settings through divide-and-conquer
Emily C. Hector, Amanda Lenzi
Under Review
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Research Articleposted 2025-10-29 03:21:40
Robust Bandwidth Selection for Median-of-Means Kernel Density Estimation under Heavy Tails and Contamination
Yaohui Lin
Under Review
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Research Articleposted 2025-10-28 15:29:03
Adaptive Stochastic Gradient Flow: A Variational Framework for Optimal Continuous-Time Approximation of Stochastic Optimization
Diplav Dongre, Ujwal Warbhe, Nileshchandra Kalbarao Pikle
Under Review
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Research Articleposted 2025-10-23 19:54:37
Approximate Bayesian Computation of reduced-bias extreme risk measures from heavy-tailed distributions
Jonathan El Methni, Stéphane Girard
Under Review
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