Results 171 to 180 of about 451,378 (309)
Leveraging Bridge Scour Detection by Multi-Model Machine Learning and Drive-By Data. [PDF]
Sensors (Basel)Tola S, Tinoco J, OBrien EJ, Matos JC.
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, 2001 Essay by Lucina Ward. "Shelf + self is a series of installations shown in Canberra, Brisbane, Sydney, Melbourne, Adelaide and Perth throughout 2001-2003 ...
Zeljko Markov
core
Canadian Journal of Statistics, EarlyView.Abstract Homogeneous normalized random measures with independent increments represent a broad class of Bayesian nonparametric priors and thus are widely used. In this article, we obtain the strong law of large numbers, the central limit theorem (CLT), and the functional central limit theorem (fCLT) of such measures when the concentration parameter a ...
Junxi Zhang, Shui Feng, Yaozhong Hu
wiley +1 more source
Approximate matrix exponential: a fast and accurate solver for Markov kinetic models of ion channels. [PDF]
Front Comput NeurosciMcDougall DA.
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Extreme conditional quantile estimation for time series
Canadian Journal of Statistics, EarlyView.Abstract We consider the estimation of an extreme conditional quantile QY(1−p|x0)$$ {Q}_Y\left(1-p|{x}_0\right) $$ for a heavy‐tailed distribution in the case of a strictly stationary time series (Xt,Yt)t∈ℤ$$ {\left({X}_t,{Y}_t\right)}_{t\in \mathbb{Z}} $$. Here, QY(·|x0)$$ {Q}_Y\left(\cdotp |{x}_0\right) $$ denotes the conditional quantile function of
Yuri Goegebeur +2 more
wiley +1 more source
From intersection names to street rankings in Kyoto: Comparing ranking methods for incomplete pairwise data. [PDF]
PLoS OneTeramoto T.
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Understanding Markov-Switching Rational Expectations Models [PDF]
We develop a set of necessary and sufficient conditions for equilibria to be determinate in a class of forward-looking Markov-switching rational expectations models and we develop an algorithm to check these conditions in practice. We use three examples,
Roger E.A. Farmer +2 more
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Learning sparse mixture‐of‐experts generalized linear models in ultrahigh dimensions
Canadian Journal of Statistics, EarlyView.Abstract Motivated by the challenges of heterogeneity and high dimensionality in the analysis of modern data, we investigate continuous regularization methods for learning sparse mixture‐of‐experts generalized linear models (MoE‐GLM). Although there are foundational results about regularized estimators in a broad class of regression models including ...
Pengqi Liu, Abbas Khalili
wiley +1 more source
Non-Parametric Mediation Analysis of Non-Markov Illness-Death Model. [PDF]
Stat MedZhuang LS, Yu JC, Huang YT.
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extBatchMarking: An R package for hidden Markov models for extended batch data
Canadian Journal of Statistics, EarlyView.Abstract We describe a new R package for extended batch‐mark methods. Extended batch marking is a valuable and efficient technique for estimating population sizes and survival probabilities of wild animals. It assigns the same identifier to a group of animals simultaneously, allowing researchers to track their survival over time.
Kehinde Olobatuyi +4 more
wiley +1 more source