Results 51 to 60 of about 3,351,972 (125)
Minimum Average Deviance Estimation for Sufficient Dimension Reduction
Sufficient dimension reduction reduces the dimensionality of data while preserving relevant regression information. In this article, we develop Minimum Average Deviance Estimation (MADE) methodology for sufficient dimension reduction.
Adragni, Kofi P.+2 more
core +1 more source
Critical realism in empirical research: employing techniques from grounded theory methodology
Whilst critical realism (CR) is becoming recognised as a significant meta-theory for the social sciences, there is little guidance on how to produce research which is consistent with its ontological and epistemological assumptions.
E. Hoddy
semanticscholar +1 more source
Background Ensemble modeling aims to boost the forecasting performance by systematically integrating the predictive accuracy across individual models. Here we introduce a simple-yet-powerful ensemble methodology for forecasting the trajectory of dynamic ...
G. Chowell, R. Luo
semanticscholar +1 more source
Comment: Expert Elicitation for Reliable System Design [PDF]
Comment: Expert Elicitation for Reliable System Design [arXiv:0708.0279]
arxiv +1 more source
Studying event time series is a powerful approach for analyzing the dynamics of complex dynamical systems in many fields of science. In this paper, we describe the method of event coincidence analysis to provide a framework for quantifying the strength ...
Donges, Jonathan F.+3 more
core +1 more source
Improvement of random LHD for high dimensions [PDF]
Designs of experiments for multivariate case are reviewed. Fast algorithm of construction of good Latin hypercube designs is developed.
arxiv
BackgroundScoping studies are increasingly common for broadly searching the literature on a specific topic, yet researchers lack an agreed-upon definition of and framework for the methodology.
Helena M Daudt+2 more
semanticscholar +1 more source
Mediation Analysis Without Sequential Ignorability: Using Baseline Covariates Interacted with Random Assignment as Instrumental Variables [PDF]
In randomized trials, researchers are often interested in mediation analysis to understand how a treatment works, in particular how much of a treatment's effect is mediated by an intermediated variable and how much the treatment directly affects the ...
Small, Dylan S.
core
Discussion of "Geodesic Monte Carlo on Embedded Manifolds"
Contributed discussion and rejoinder to "Geodesic Monte Carlo on Embedded Manifolds" (arXiv:1301.6064)Comment: Discussion of arXiv:1301.6064. To appear in the Scandinavian Journal of Statistics.
Byrne, Simon+11 more
core +1 more source
Likelihood-free Markov chain Monte Carlo [PDF]
To appear to MCMC handbook, S. P. Brooks, A. Gelman, G. Jones and X.-L. Meng (eds), Chapman & Hall.
arxiv