arXiv stat.AP Applications

Michael Balzer, Adhen Benlahlou: Strategic Interactions in Science and Technology Networks: Substitutes or Complements? https://arxiv.org/abs/2602.02403 https://arxiv.org/pdf/2602.02403 https://arxiv.org/html/2602.02403

Sebastian Engelke, Philippe Naveau, Chen Zhou: A Kullback-Leibler divergence test for multivariate extremes: theory and practice https://arxiv.org/abs/2602.02316 https://arxiv.org/pdf/2602.02316 https://arxiv.org/html/2602.02316

Haixiang Sun, Andrew L. Liu: Robust Generalization with Adaptive Optimal Transport Priors for Decision-Focused Learning https://arxiv.org/abs/2602.01427 https://arxiv.org/pdf/2602.01427 https://arxiv.org/html/2602.01427

Poushali Sengupta, Mayank Raikwar, Sabita Maharjan, Frank Eliassen, Yan Zhang: Adaptive Quantum-Safe Cryptography for 6G Vehicular Networks via Context-Aware Optimization https://arxiv.org/abs/2602.01342 https://arxiv.org/pdf/2602.01342 https://arxiv.org/html/2602.01342

Che-Yi Liao, Zheng Dong, Gian-Gabriel Garcia, Kamran Paynabar: Multivariate Time Series Data Imputation via Distributionally Robust Regularization https://arxiv.org/abs/2602.00844 https://arxiv.org/pdf/2602.00844 https://arxiv.org/html/2602.00844

Mame Diarra Toure, David A. Stephens: Singular Bayesian Neural Networks https://arxiv.org/abs/2602.00387 https://arxiv.org/pdf/2602.00387 https://arxiv.org/html/2602.00387

Kevin A. McKinnon, Roeland P. van der Marel: Simulating Roman+Gaia Combined Astrometry, Parallaxes, and Proper Motions https://arxiv.org/abs/2602.00310 https://arxiv.org/pdf/2602.00310 https://arxiv.org/html/2602.00310

Matilda Pitt, Robert J. B. Goudie: A Bayesian Prevalence Incidence Cure model for estimating survival using Electronic Health Records with incomplete baseline diagnoses https://arxiv.org/abs/2602.00291 https://arxiv.org/pdf/2602.00291 https://arxiv.org/html/2602.00291

Hyemin Lee, Dohee Kim, Banghee So, Jae Youn Ahn: Counting models with excessive zeros ensuring stochastic monotonicity https://arxiv.org/abs/2602.02398 https://arxiv.org/pdf/2602.02398 https://arxiv.org/html/2602.02398

Jun-ichi Takeshita, Kazuhiro Morita, Tomomichi Suzuki: Bootstrap-based estimation and inference for measurement precision under ISO 5725 https://arxiv.org/abs/2602.01931 https://arxiv.org/pdf/2602.01931 https://arxiv.org/html/2602.01931

Da Silva Sanchez, Derman, Pham, Butler, Nebel, Mejia: Bayesian brain mapping: population-informed individualized functional topography and connectivity https://arxiv.org/abs/2602.01551 https://arxiv.org/pdf/2602.01551 https://arxiv.org/html/2602.01551

Babak Maboudi Afkham, Ana Carpio: Simultaneous Estimation of Seabed and Its Roughness With Longitudinal Waves https://arxiv.org/abs/2602.01099 https://arxiv.org/pdf/2602.01099 https://arxiv.org/html/2602.01099

Behzad Ghanbarian, Victor Oladoja, Kehinde Bosikun, Tayeb Jamali, J\"urgen Kurths: Boundary-Induced Biases in Climate Networks of Extreme Precipitation and Temperature https://arxiv.org/abs/2602.00890 https://arxiv.org/pdf/2602.00890 https://arxiv.org/html/2602.00890

Yulin Shao, Liangbo Lyu, Menggang Yu, Bingkai Wang: Benchmarking covariate-adjustment strategies for randomized clinical trials https://arxiv.org/abs/2602.00434 https://arxiv.org/pdf/2602.00434 https://arxiv.org/html/2602.00434

[2026-02-03 Tue (UTC), 6 new articles found for statAP Applications]

Johannes Muhle-Karbe, Youssef Ouazzani Chahd, Mathieu Rosenbaum, Gr\'egoire Szymanski: A unified theory of order flow, market impact, and volatility https://arxiv.org/abs/2601.23172 https://arxiv.org/pdf/2601.23172 https://arxiv.org/html/2601.23172

Yannis Montreuil, Letian Yu, Axel Carlier, Lai Xing Ng, Wei Tsang Ooi: Learning to Defer in Non-Stationary Time Series via Switching State-Space Models https://arxiv.org/abs/2601.22538 https://arxiv.org/pdf/2601.22538 https://arxiv.org/html/2601.22538

Michael Grantham, Xueheng Shi, Bertrand Clarke: Changepoint Detection As Model Selection: A General Framework https://arxiv.org/abs/2601.22481 https://arxiv.org/pdf/2601.22481 https://arxiv.org/html/2601.22481

Kang, Wang, Zhang, Pratap, Verma, Wong: It's all the (Exponential) Family: An Equivalence between Maximum Likelihood Estimation and Control Variates for Sketching Algorithms https://arxiv.org/abs/2601.22378 https://arxiv.org/pdf/2601.22378 https://arxiv.org/html/2601.22378

Lupo Marsigli, Angel Lopez de Haro: Label-Efficient Monitoring of Classification Models via Stratified Importance Sampling https://arxiv.org/abs/2601.22326 https://arxiv.org/pdf/2601.22326 https://arxiv.org/html/2601.22326

JoonHo Lee, Alison Hooper: Beyond the Null Effect: Unmasking the True Impact of Teacher-Child Interaction Quality on Child Outcomes in Early Head Start https://arxiv.org/abs/2601.23203 https://arxiv.org/pdf/2601.23203 https://arxiv.org/html/2601.23203

Huyen Nguyen, Haim Bar, Zhiyi Chi, Vladimir Pozdnyakov: A Time-Varying Branching Process Approach to Model Self-Renewing Cells https://arxiv.org/abs/2601.22282 https://arxiv.org/pdf/2601.22282 https://arxiv.org/html/2601.22282

[2026-02-02 Mon (UTC), 2 new articles found for statAP Applications]

Silvia Dallari, Laura Anderlucci, Nicola Grandi, Angela Montanari: A Poisson Factor Mixture Model for the Analysis of Linguistic Competence in Italian University Students' Writing https://arxiv.org/abs/2601.21493 https://arxiv.org/pdf/2601.21493 https://arxiv.org/html/2601.21493

Kang You, Gary Green, Jian Zhang: Differential Dynamic Causal Nets: Model Construction, Identification and Group Comparisons https://arxiv.org/abs/2601.21478 https://arxiv.org/pdf/2601.21478 https://arxiv.org/html/2601.21478

Tingyu Zhao, Istv\'an A. Kov\'acs: Collective Noise Filtering in Complex Networks https://arxiv.org/abs/2601.21299 https://arxiv.org/pdf/2601.21299 https://arxiv.org/html/2601.21299

Haixiang Sun, Pengchao Tian, Zihan Zhou, Jielei Zhang, Peiyi Li, Andrew L. Liu: Efficient Causal Structure Learning via Modular Subgraph Integration https://arxiv.org/abs/2601.21014 https://arxiv.org/pdf/2601.21014 https://arxiv.org/html/2601.21014

Xiyuan Liu, Christian Hacker, Shengnian Wang, Yuhua Duan: A generative machine learning model for designing metal hydrides applied to hydrogen storage https://arxiv.org/abs/2601.20892 https://arxiv.org/pdf/2601.20892 https://arxiv.org/html/2601.20892

Andrich, Lai, Jun, Duan, Cheng, Flaxman, Tatem: Social Media Data for Population Mapping: A Bayesian Approach to Address Representativeness and Privacy Challenges https://arxiv.org/abs/2601.22104 https://arxiv.org/pdf/2601.22104 https://arxiv.org/html/2601.22104

Edoardo Otranto: Clustering Methods for Identifying and Modelling Areas with Similar Temperature Variations https://arxiv.org/abs/2601.21495 https://arxiv.org/pdf/2601.21495 https://arxiv.org/html/2601.21495