Results 131 to 140 of about 33,788 (311)

Asymptotic properties of cross‐classified sampling designs

Canadian Journal of Statistics, EarlyView.
Abstract We investigate the family of cross‐classified sampling designs across an arbitrary number of dimensions. We introduce a variance decomposition that enables the derivation of general asymptotic properties for these designs and the development of straightforward and asymptotically unbiased variance estimators.
Jean Rubin, Guillaume Chauvet
wiley   +1 more source

"Characterization of the Asymptotic Distribution of Semiparametric M-Estimators" [PDF]

This paper develops a concrete formula for the asymptotic distribution of two-step, possibly non-smooth semiparametric M-estimators under general misspecification.
Sokbae Lee, Hidehiko Ichimura
core   +3 more sources

Analysis of Generalized Self-Excited Vibrations

Engineering Transactions, 1994
The asymptotic nonlinear method is applied to salve the generalized equation of the self-excited vibration. In the last several decades, increased interest in the study of asymptotic analysis is observed, based mainly on application of the exact ...
K. Wernerowski
doaj  

Bayesian inverse ensemble forecasting for COVID‐19

Canadian Journal of Statistics, EarlyView.
Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
wiley   +1 more source

Convergence clubs, the euro-area rank and the relationship between banking and real convergence [PDF]

This paper analyses banking convergence, measured through the ratios of deposits and loans to GDP, across 65 countries, compares it with per capita income convergence, and tests its effect on real convergence.
Massimiliano Affinito
core  

A partial envelope approach for modelling multivariate spatial‐temporal data

Canadian Journal of Statistics, EarlyView.
Abstract In the new era of big data, modelling multivariate spatial‐temporal data is a challenging task due to both the high dimensionality of the features and complex associations among the responses across different locations and time points.
Reisa Widjaja, Wenbo Wu, Victor De Oliveira, Keying Ye   +3 more
wiley   +1 more source

Asymptotic Behaviour and Convergence Order of Ioachimescu Type Sequences

Axioms
The purpose of the paper is to give some sequences that converge quickly to a generalization of Ioachimescu’s constant, i.e., the limit of the sequence 1as+1(a+1)s+⋯+1(a+n−1)s−11−s(a+n−1)1−s−a1−sn∈N, where a∈(0,+∞) and s∈(0,1).
Alina Sîntămărian, Ovidiu Furdui
doaj   +1 more source

Nonlinear permuted Granger causality

Canadian Journal of Statistics, EarlyView.
Abstract Granger causality is an established, contentious method that seeks causal temporal connections via association and precedence. While not true causal inference, it assists in mapping networks of information flow that may warrant further study.
Noah D. Gade, Jordan Rodu
wiley   +1 more source

Limit Theory for Moderate Deviations from a Unit Root [PDF]

An asymptotic theory is given for autoregressive time series with a root of the form rho_{n} = 1+c/n^{alpha}, which represents moderate deviations from unity when alpha in (0,1).
Peter C.B. Phillips, Tassos Magdalinos
core  

Nonparametric maximum likelihood estimation of the survival function using current lifetime data

Canadian Journal of Statistics, EarlyView.
Abstract An issue when estimating the failure time survival function is how to set up a prevalent cohort study infrastructure to follow subjects after enrollment. This problem can be circumvented through the well‐known Grenander density estimator using current lifetime observations only.
James H. McVittie, Masoud Asgharian
wiley   +1 more source