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Renewable estimation in linear expectile regression models with streaming data sets

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Multiproposal Elliptical Slice Sampling

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Adaptive Penalized Doubly Robust Regression for Longitudinal Data

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Generative Bayesian Computation as a Scalable Alternative to Gaussian Process Surrogates

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An index of effective number of variables for uncertainty and reliability analysis in model selectio...

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Adaptive Importance Tempering: A flexible approach to improve computational efficiency of Metropolis...

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Introducing Feature-Based Trajectory Clustering, a clustering algorithm for longitudinal data

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Counterdiabatic Hamiltonian Monte Carlo

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Posterior Mode Guided Dimension Reduction for Bayesian Model Averaging in Heavy-Tailed Linear Regres...

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Change point analysis of high-dimensional data using random projections

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The Uncertain Policy Price of Scaling Direct Air Capture

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Probabilistic multivariate statistical process control via kernel parameter uncertainty propagation

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The Role of Data and Metrics in Measuring Inequality Worldwide. A Tribute to Giovanni Andrea Cornia'...

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A Weight-Dependent 1RM Prediction Equation Optimized on 303,494 Near-Failure Sets Across 388 Exercis...

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Multivariate GARCH and portfolio variance prediction: A forecast reconciliation perspective

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Lightweight Adaptation for LLM-based Technical Service Agent: Latent Logic Augmentation and Robust N...

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Analysis of molecular dynamics simulation data via statistical distances between covariance matrices

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