Results 71 to 80 of about 252 (167)
Some theoretical foundations for the design and analysis of randomized experiments
Neyman’s seminal work in 1923 has been a milestone in statistics over the century, which has motivated many fundamental statistical concepts and methodology.
Shi Lei, Li Xinran
doaj +1 more source
Primary 62F35, secondary 62G05, 62J05, Linear models, asymmetric errors, robust estimation, re-descending influence functions,
M. Hlynka, D. Wiens, J. Sheahan
core +1 more source
Discrete Periodic Sampling with Jitter and Almost Periodically Correlated Processes
Continuous time process, Almost periodic covariance, Spectral covariance, Discrete time sampling, Jitter, Consistent estimator, 62G05, 62G20,
Dominique Dehay +3 more
core +1 more source
Assessing the error in bootstrap estimates with dependent data
ARMA model, block bootstrap statistics, dependent data, jackknife, sample mean, stationary, time series, variance, 62G05,
Sahar Ibrahim +2 more
core +1 more source
On the subsample bootstrap variance estimation
Jackknife, bootstrap, variance estimation, infinite order U-statistics, 62G05, 60F99,
Dragan Radulović
core +1 more source
Optimal bandwidth estimators of kernel density functionals for contaminated data. [PDF]
Gündüz N, Aydın C.
europepmc +1 more source
Nonparametric estimation of survival functions by means of partial exchangeability structures
Beta processes, hierarchical partition models, posterior probabilities, survival analysis, 62G05,
Paolo Giudici, Maura Mezzetti
core +1 more source
Conservative inference for counterfactuals
In causal inference, the joint law of a set of counterfactual random variables is generally not identified. But many interesting quantities are functions of the joint distribution.
Balakrishnan Sivaraman +2 more
doaj +1 more source
Consistency results on nonparametric Bayesian estimation of level sets using spatial priors
Bayesian nonparametric estimation, Consistency, Level Sets, Reversible jump MCMC, Spatial point process, Voronoi tessellation, 62C10, 62G05, 62G20, 62M30, 65C40,
Rousseau, Judith +3 more
core +1 more source
Personalized treatment selection using observational data. [PDF]
Kulasekera KB, Tholkage S, Kong M.
europepmc +1 more source

