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statme-bot.bsky.social
arXiv stat.ME Methodology @statme-bot.bsky.social · 18h
Andreas Anastasiou, Ivor Cribben: Tensor time series change-point detection in cryptocurrency network data https://arxiv.org/abs/2510.06211 https://arxiv.org/pdf/2510.06211 https://arxiv.org/html/2510.06211
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statme-bot.bsky.social
arXiv stat.ME Methodology @statme-bot.bsky.social · 18h
Farhad de Sousa, Fran\c{c}ois Ribalet, Jacob Bien: Automated Gating for Flow Cytometry Data Using a Kernel-Smoothed EM Algorithm https://arxiv.org/abs/2510.06051 https://arxiv.org/pdf/2510.06051 https://arxiv.org/html/2510.06051
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statml-bot.bsky.social
arXiv stat.ML Machine Learning @statml-bot.bsky.social · 18h
Zhexiao Lin, Yuanyuan Li, Neeraj Sarna, Yuanyuan Gao, Michael von Gablenz: Domain-Shift-Aware Conformal Prediction for Large Language Models https://arxiv.org/abs/2510.05566 https://arxiv.org/pdf/2510.05566 https://arxiv.org/html/2510.05566
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arXiv cs.AI Artificial Intelligence @csai-bot.bsky.social · 19h
Gordon Hung, Salinna Abdullah: Decade-long Emission Forecasting with an Ensemble Model in Taiwan https://arxiv.org/abs/2510.05548 https://arxiv.org/pdf/2510.05548 https://arxiv.org/html/2510.05548
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statme-bot.bsky.social
arXiv stat.ME Methodology @statme-bot.bsky.social · 18h
Abid Hussain, Touqeer Ahmad: A new composite Mann-Whitney test for two-sample survival comparisons with right-censored data https://arxiv.org/abs/2510.05353 https://arxiv.org/pdf/2510.05353 https://arxiv.org/html/2510.05353
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arXiv cs.AI Artificial Intelligence @csai-bot.bsky.social · 19h
Joshua Kazdan, Rylan Schaeffer, Youssef Allouah, Colin Sullivan, Kyssen Yu, Noam Levi, Sanmi Koyejo: Efficient Prediction of Pass@k Scaling in Large Language Models https://arxiv.org/abs/2510.05197 https://arxiv.org/pdf/2510.05197 https://arxiv.org/html/2510.05197
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arXiv q-bio.QM Quantitative Methods @qbioqm-bot.bsky.social · 18h
Jiacheng Wu: Aneurysm Growth Time Series Reconstruction Using Physics-informed Autoencoder https://arxiv.org/abs/2510.05183 https://arxiv.org/pdf/2510.05183 https://arxiv.org/html/2510.05183
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statap-bot.bsky.social
arXiv stat.AP Applications @statap-bot.bsky.social · 18h
Francesca Fiori, Andrea Riebler, Sara Martino: Geographical inequalities in mortality by age and gender in Italy, 2002-2019: insights from a spatial extension of the Lee-Carter model https://arxiv.org/abs/2510.06210 https://arxiv.org/pdf/2510.06210 https://arxiv.org/html/2510.06210
statap-bot.bsky.social
arXiv stat.AP Applications @statap-bot.bsky.social · 18h
Mamajiwala, Corrado, Lanyon, Niederer, Wilkinson, Clayton: Rapid calibration of atrial electrophysiology models using Gaussian process emulators in the ensemble Kalman filter https://arxiv.org/abs/2510.06191 https://arxiv.org/pdf/2510.06191 https://arxiv.org/html/2510.06191
statap-bot.bsky.social
arXiv stat.AP Applications @statap-bot.bsky.social · 18h
Adam Bloomston, et al.: Measuring Data Quality for Project Lighthouse https://arxiv.org/abs/2510.06121 https://arxiv.org/pdf/2510.06121 https://arxiv.org/html/2510.06121
statap-bot.bsky.social
arXiv stat.AP Applications @statap-bot.bsky.social · 18h
Andrea Mecchina, Roberta Pappad\`a, Nicola Torelli: Copula-Based Clustering of Financial Time Series via Evidence Accumulation https://arxiv.org/abs/2510.05960 https://arxiv.org/pdf/2510.05960 https://arxiv.org/html/2510.05960
statap-bot.bsky.social
arXiv stat.AP Applications @statap-bot.bsky.social · 18h
Jean-Michel Poggi (LMO, UPCit\'e), Bruno Portier (LMI), Emma Thulliez (LMI): Geographically Weighted Regression for Air Quality Low-Cost Sensor Calibration https://arxiv.org/abs/2510.05646 https://arxiv.org/pdf/2510.05646 https://arxiv.org/html/2510.05646
statap-bot.bsky.social
arXiv stat.AP Applications @statap-bot.bsky.social · 18h
[2025-10-08 Wed (UTC), 5 new articles found for statAP Applications]
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arXiv q-bio.PE Populations and Evolution @qbiope-bot.bsky.social · 1d
Matthew Hatton, Jack H Laverick, Neil Banas, Michael Heath: Ecosystem Recovery to Historical Targets Becomes Unattainable Under Modelled Fishing and Climate in the Barents Sea https://arxiv.org/abs/2510.04806 https://arxiv.org/pdf/2510.04806 https://arxiv.org/html/2510.04806
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arXiv math.ST Statistics Theory @mathst-bot.bsky.social · 1d
Sayan Ranjan Bhowal, Debashis Paul, Gopal K Basak, Samarjit Das: Statistical inference using debiased group graphical lasso for multiple sparse precision matrices https://arxiv.org/abs/2510.04683 https://arxiv.org/pdf/2510.04683 https://arxiv.org/html/2510.04683
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statml-bot.bsky.social
arXiv stat.ML Machine Learning @statml-bot.bsky.social · 1d
Alexej Brauer, Paul Menzel: Gini-based Model Monitoring: A General Framework with an Application to Non-life Insurance Pricing https://arxiv.org/abs/2510.04556 https://arxiv.org/pdf/2510.04556 https://arxiv.org/html/2510.04556
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statme-bot.bsky.social
arXiv stat.ME Methodology @statme-bot.bsky.social · 1d
Tomasz G\'orecki, Miros{\l}aw Krzy\'sko, Felix Gnettner, Piotr Kokoszka: Two new approaches to multiple canonical correlation analysis for repeated measures data https://arxiv.org/abs/2510.04457 https://arxiv.org/pdf/2510.04457 https://arxiv.org/html/2510.04457
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arXiv physics.ao-ph Atmospheric and Oceanic Physics @physicsaoph-bot.bsky.social · 1d
Shahine Bouabid, Andre Nogueira Souza, Raffaele Ferrari: Score-based generative emulation of impact-relevant Earth system model outputs https://arxiv.org/abs/2510.04358 https://arxiv.org/pdf/2510.04358 https://arxiv.org/html/2510.04358
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qbioqm-bot.bsky.social
arXiv q-bio.QM Quantitative Methods @qbioqm-bot.bsky.social · 1d
Th\'eo Michelot, Emma Storey: Scale dependence in hidden Markov models for animal movement https://arxiv.org/abs/2510.03958 https://arxiv.org/pdf/2510.03958 https://arxiv.org/html/2510.03958
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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 1d
Lotspeich, Collins, Wells, Khanna, Rigdon, McGowan: On Using Large Language Models to Enhance Clinically-Driven Missing Data Recovery Algorithms in Electronic Health Records https://arxiv.org/abs/2510.03844 https://arxiv.org/pdf/2510.03844 https://arxiv.org/html/2510.03844
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statme-bot.bsky.social
arXiv stat.ME Methodology @statme-bot.bsky.social · 1d
Xiaoli Li, Yang Chen, Xiao-Li Meng, David van Dyk, Massimiliano Bonamente, Vinay Kashyap: Making high-order asymptotics practical: correcting goodness-of-fit test for astronomical count data https://arxiv.org/abs/2510.03466 https://arxiv.org/pdf/2510.03466 https://arxiv.org/html/2510.03466
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arXiv stat.ME Methodology @statme-bot.bsky.social · 1d
Parsa Jamshidian, Donatello Telesca: Bayesian Transfer Learning for High-Dimensional Linear Regression via Adaptive Shrinkage https://arxiv.org/abs/2510.03449 https://arxiv.org/pdf/2510.03449 https://arxiv.org/html/2510.03449
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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 1d
Joseph Rawson, Domniki Ladopoulou, Petros Dellaportas: Multi-task neural diffusion processes for uncertainty-quantified wind power prediction https://arxiv.org/abs/2510.03419 https://arxiv.org/pdf/2510.03419 https://arxiv.org/html/2510.03419
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cslg-bot.bsky.social
arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 1d
Lijiao Wang, Muhammad Usama, Haris N. Koutsopoulos, Zhengbing He: Estimating link level traffic emissions: enhancing MOVES with open-source data https://arxiv.org/abs/2510.03362 https://arxiv.org/pdf/2510.03362 https://arxiv.org/html/2510.03362
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arXiv econ.GN General Economics @econgn-bot.bsky.social · 1d
Jason Godfrey: How does course recommendation impact student outcomes? Examining directed self-placement with regression discontinuity analysis https://arxiv.org/abs/2510.03350 https://arxiv.org/pdf/2510.03350 https://arxiv.org/html/2510.03350
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