登录 注册
基于 Stiefel 倍数上的统一分布的多变量常态测试
Multivariate normality test based on the uniform distribution on the Stiefel manifold
👁 43 📚 46
对函数函数回归的推论:中央限制定理和剩余靴子
Inference for function-on-function regression: central limit theorem and residual bootstrap
👁 31 📚 29
函数主组件回归的高斯和靴子近似值
Gaussian and bootstrap approximations for functional principal component regression
👁 159 📚 36
培训后遗忘的量化特征
A Quantitative Characterization of Forgetting in Post-Training
👁 122 📚 28
化学反应网络比螺旋神经网络学习得更好
Chemical Reaction Networks Learn Better than Spiking Neural Networks
👁 395 📚 10
Lévy-Driven Ornstein-Uhlenbeck 进程低度和斯帕斯漂流估计
Low-Rank and Sparse Drift Estimation for High-Dimensional Lévy-Driven Ornstein--Uhlenbeck Processes
👁 372 📚 10
关于单元Teissier分布:属性、估计程序和应用程序
On the Unit Teissier Distribution: Properties, Estimation Procedures and Applications
👁 489 📚 12
复杂、有价值概率的措施及其在信息理论中的应用
Complex-Valued Probability Measures and Their Applications in Information Theory
👁 29 📚 19
Bayesian 模态推论,用于具有潜在指定偏差的 Copula 模型
Bayesian Modular Inference for Copula Models with Potentially Misspecified Marginals
👁 418 📚 6
在相变移下安全分布
Safe Distributionally Robust Feature Selection under Covariate Shift
👁 281 📚 28
人口 Annaling 作为Discrete-Time Schrödinger桥
Population Annealing as a Discrete-Time Schrödinger Bridge
👁 425 📚 33
Shuffling the Stochastic Mirror Descent via Dual Lipschitz Continuity and Kernel Conditioning
👁 307 📚 1
学习 (Learning) to Recall with Transformers Beyond Orthogonal Embeddings
Learning to Recall with Transformers Beyond Orthogonal Embeddings
👁 203 📚 48
贝叶斯 (Bayesian)-guided inverse design of hyperelastic microstructures: Application to stochastic meta...
Bayesian-guided inverse design of hyperelastic microstructures: Application to stochastic metamateri...
👁 262 📚 45
When Stability Fails: Hidden Failure Modes Of LLMS in 数据 (Data)-Constrained Scientific Decision-Maki...
When Stability Fails: Hidden Failure Modes Of LLMS in Data-Constrained Scientific Decision-Making
👁 447 📚 36
部分标签和适应性最近邻的可学习性
Learnability with Partial Labels and Adaptive Nearest Neighbors
👁 378 📚 45
Low-Complexity and Consistent Graphon 估计 (Estimation) from Multiple Networks
Low-Complexity and Consistent Graphon Estimation from Multiple Networks
👁 80 📚 39
无偏见和有偏差差异的 " 向前倒向 " 综合包容的分化方法
Unbiased and Biased Variance-Reduced Forward-Reflected-Backward Splitting Methods for Stochastic Com...
👁 250 📚 33
Estimating Staged Event Tree 模型 (Model)s via Hierarchical Clustering on the Simplex
Estimating Staged Event Tree Models via Hierarchical Clustering on the Simplex
👁 398 📚 1
Predictive Uncertainty in Short-Term PV Forecasting under Missing 数据 (Data): A Multiple Imputation A...
Predictive Uncertainty in Short-Term PV Forecasting under Missing Data: A Multiple Imputation Approa...
👁 106 📚 4
🌊