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统计方法是指有关收集、整理、分析和解释统计数据，并对其所反映的问题作出一定结论的方法。统计方法是一种从微观结构上来研究物质的宏观性质及其规律的独特的方法。
Difference-Based High-Dimensional Long-Run Covariance Matrix Estimation for Mean-shift Time Series
Difference-Based High-Dimensional Long-Run Covariance Matrix Estimation for Mean-shift Time Series
Arxiv
0+阅读 · 3月18日
Online LLM watermark detection via e-processes
Arxiv
0+阅读 · 3月18日
Fast and scalable inference in hidden Markov models with Gaussian fields
Fast and scalable inference in hidden Markov models with Gaussian fields
Arxiv
0+阅读 · 3月18日
Regression and Dimension Reduction for Multivariate Mixed-Type Data via Semiparametric Gaussian Copula
Arxiv
0+阅读 · 3月17日
Transmuted logistic-exponential distribution - some new properties, estimation methods and application with infectious disease mortality data
Transmuted logistic-exponential distribution - some new properties, estimation methods and application with infectious disease mortality data
Arxiv
0+阅读 · 3月18日
Generalized projection tests for function-valued parameters with applications to testing structural causal assumptions
Arxiv
0+阅读 · 3月17日
A statistical framework for dynamic cognitive diagnosis in digital learning environments
Arxiv
0+阅读 · 3月17日
Algorithms for Models with Intractable Normalizing Functions
Arxiv
0+阅读 · 3月18日
Robust Regression with Student's T: The Role of Degrees of Freedom
Robust Regression with Student's T: The Role of Degrees of Freedom
Arxiv
0+阅读 · 3月18日
The Honest Truth About Causal Trees: Accuracy Limits for Heterogeneous Treatment Effect Estimation
Arxiv
0+阅读 · 3月17日
A lightweight framework for characterising extreme precipitation events in climate ensembles
A lightweight framework for characterising extreme precipitation events in climate ensembles
Arxiv
0+阅读 · 3月18日
Wasserstein-type Gaussian Process Regressions for Input Measurement Uncertainty
Wasserstein-type Gaussian Process Regressions for Input Measurement Uncertainty
Arxiv
0+阅读 · 3月18日
Bayesian Scalar-on-Tensor Quantile Regression for Longitudinal Data on Alzheimer's Disease
Bayesian Scalar-on-Tensor Quantile Regression for Longitudinal Data on Alzheimer's Disease
Arxiv
0+阅读 · 3月18日
Dependence Fidelity and Downstream Inference Stability in Generative Models
Dependence Fidelity and Downstream Inference Stability in Generative Models
Arxiv
0+阅读 · 3月17日
Hebbian Physics Networks: A Self-Organizing Computational Architecture Based on Local Physical Laws
Hebbian Physics Networks: A Self-Organizing Computational Architecture Based on Local Physical Laws
Arxiv
0+阅读 · 3月18日
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