
Generalized maximum likelihood estimation of the mean of parameters of mixtures, with applications to sampling
Let f(yθ), θ∈Ω be a parametric family, η(θ) a given function, and G an...
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Nonparametric Empirical Bayes Estimation and Testing for Sparse and Heteroscedastic Signals
Largescale modern data often involves estimation and testing for highd...
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On robust learning in the canonical change point problem under heavy tailed errors in finite and growing dimensions
This paper presents a number of new findings about the canonical change ...
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Regression discontinuity design: estimating the treatment effect with standard parametric rate
Regression discontinuity design models are widely used for the assessmen...
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The Hot Hand and Its Effect on the NBA
This paper aims to revisit and expand upon previous work on the "hot han...
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Design of cOptimal Experiments for High dimensional Linear Models
We study random designs that minimize the asymptotic variance of a debi...
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Markovian And NonMarkovian Processes with Active Decision Making Strategies For Addressing The COVID19 Pandemic
We study and predict the evolution of Covid19 in six US states from the...
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Scalable Monte Carlo Inference and Rescaled Local Asymptotic Normality
Statisticians are usually glad to obtain additional data, but Monte Carl...
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Asymptotic normality of a linear threshold estimator in fixed dimension with nearoptimal rate
Linear thresholding models postulate that the conditional distribution o...
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Applications of Generalized Maximum Likelihood Estimators to stratified sampling and poststratification with many unobserved strata
Consider the problem of estimating a weighted average of the means of n ...
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Inference In General SingleIndex Models Under Highdimensional Symmetric Designs
We consider the problem of statistical inference for a finite number of ...
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Estimating the Random Effect in Big Data Mixed Models
We consider three problems in highdimensional Gaussian linear mixed mod...
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NonStandard Asymptotics in High Dimensions: Manski's Maximum Score Estimator Revisited
Manski's celebrated maximum score estimator for the binary choice model ...
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Inference Without Compatibility
We consider hypothesis testing problems for a single covariate in the co...
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Selfreporting and screening: Data with currentstatus and censored observations
We consider survival data that combine three types of observations: unce...
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On conditional parity as a notion of nondiscrimination in machine learning
We identify conditional parity as a general notion of nondiscrimination...
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Sparse Empirical Bayes Analysis (SEBA)
We consider a joint processing of n independent sparse regression proble...
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LLE with lowdimensional neighborhood representation
The local linear embedding algorithm (LLE) is a nonlinear dimensionred...
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Ya'acov Ritov
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