Estimation in discrete parameter models
From MaRDI portal
Publication:5962693
DOI10.1214/11-STS371zbMath1330.62306arXiv1207.5653MaRDI QIDQ5962693
Raffaello Seri, Christine Choirat
Publication date: 16 February 2016
Published in: Statistical Science (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1207.5653
Hypothesis testing in multivariate analysis (62H15) Paired and multiple comparisons; multiple testing (62J15)
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Cites Work
- Convexity and large deviations
- On approximating probabilities for small and large deviations in \(R^{d1}\)
- Best prediction in linear models with mixed integer/real unknowns: Theory and application
- Statistical decision theory and Bayesian analysis. 2nd ed
- Large deviations of estimators
- Theory of partial likelihood
- The strong ergodic theorem for densities: Generalized Shannon-McMillan- Breiman theorem
- Minimax Bahadur efficiency for small confidence levels.
- A stepwise Bayesian procedure
- Admissibility in finite problems
- Nonparametric maximum likelihood estimation by the method of sieves
- Dominating points and the asymptotics of large deviations for random walk on \(R^ r\).
- A note on the consistency of maximum likelihood estimates for finite families of stochastic processes
- On large-deviation efficiency in statistical inference
- A note on Hammersley's estimator of an integer mean
- Asymptotics in statistics. Some basic concepts.
- Saddlepoint approximations for marginal and conditional probabilities of transformed variables
- A note on Hammersley's inequality for estimating the normal integer mean
- Necessary and sufficient conditions for inequalities of Cramer-Rao type
- A functional version of the Birkhoff ergodic theorem for a normal integrand: A variational approach
- Confidence sets for discrete stochastic optimization
- Sharp asymptotics of large deviations in \(\mathbb{R}^ d\)
- On some properties of Hammersley's estimator of an integer mean
- The Sample Average Approximation Method for Stochastic Discrete Optimization
- The Probability in the Extreme Tail of a Convolution
- On Deviations of the Sample Mean
- On Convergence Rates in Nonparametric Problems
- Encompassing and indirect inference
- A Unified Treatment of Integer Parameter Models
- Saddle point approximation for the distribution of the sum of independent random variables
- The Optimal Estimation of a Discrete Parameter
- Some Estimators of the Integer-Valued Parameter of a Poisson Variate
- Performance of Bayesian parameter estimators for linear signal models
- An upper bound on the mean-square error for Bayesian parameter estimators (Corresp.)
- An information theoretic approach to dynamical systems modeling and identification
- A sufficient condition for consistent discrimination between stationary Gaussian models
- A note on the admissibility of hammersley's estimator of an integer mean
- Consistent estimation on finite parameter sets with application to linear systems identification
- Two‐stage stochastic integer programming: a survey
- The asymptotics of posterior entropy and error probability for Bayesian estimation
- A lower bound on the probability of error in multihypothesis testing
- The optimal error exponent for Markov order estimation
- Admissibility for Estimation with Quadratic Loss
- Admissible and Minimax Integer-Valued Estimators of an Inter-Valued Parameter
- A class of upper bounds on probability of error for multihypotheses pattern recognition (Corresp.)
- Comparison of experiments when the parameter space is finite
- Variance of Bayes estimates
- A discrete theory of search. II
- Sequential Estimation of a Poisson Integer Mean
- The 1972 Wald Lecture Robust Statistics: A Review
- Minimum Variance Estimation Without Regularity Assumptions
- Saddlepoint Approximations in Statistics
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