Results 81 to 90 of about 643,547 (199)

Bayesian computational methods [PDF]

If, in the mid 1980?s, one had asked the average statistician about the difficulties of using Bayesian Statistics, his/her most likely answer would have been ?Well, there is this problem of selecting a prior distribution and then, even if one agrees on ...
Robert, Christian P.
core  

Pathwise Coordinate Optimization for Sparse Learning: Algorithm and Theory

, 2017
The pathwise coordinate optimization is one of the most important computational frameworks for high dimensional convex and nonconvex sparse learning problems.
Liu, Han, Zhang, Tong, Zhao, Tuo
core   +1 more source

Scaling-up Empirical Risk Minimization: Optimization of Incomplete U-statistics [PDF]

, 2016
In a wide range of statistical learning problems such as ranking, clustering or metric learning among others, the risk is accurately estimated by $U$-statistics of degree $d\geq 1$, i.e.
Bellet, Aurélien, Clémençon, Stéphan, Colin, Igor   +2 more
core   +2 more sources

Of mice and men: Sparse statistical modeling in cardiovascular genomics

, 2007
In high-throughput genomics, large-scale designed experiments are becoming common, and analysis approaches based on highly multivariate regression and anova concepts are key tools.
Goldschmidt-Clermont, Pascal J., Seo, David M., West, Mike   +2 more
core   +1 more source

Random Projections For Large-Scale Regression

, 2017
Fitting linear regression models can be computationally very expensive in large-scale data analysis tasks if the sample size and the number of variables are very large.
B. McWilliams, D. Achlioptas, M.W. Mahoney, O.-A. Maillard, P. Dhillon, P.S. Dhillon, R.D. Cook, S. Dasgupta, T. Marzetta   +8 more
core   +1 more source

Good, great, or lucky? Screening for firms with sustained superior performance using heavy-tailed priors

, 2012
This paper examines historical patterns of ROA (return on assets) for a cohort of 53,038 publicly traded firms across 93 countries, measured over the past 45 years.
Polson, Nicholas G., Scott, James G.
core   +1 more source

Legal Statutes of Arab Refugees [PDF]

, 1968
The recently developed particle filter offers a general numerical tool to approximate the state a posteriori density in nonlinear and non-Gaussian filtering problems with arbitrary accuracy.
Gustafsson, Fredrik, Nordlund, Per-Johan, Schön, Thomas   +2 more
core   +1 more source

Design and implementation of an asynchronous online course-based undergraduate research experience (CURE) in computational genomics.

PLoS Computational Biology
As genomics technologies advance, there is a growing demand for computational biologists trained for genomics analysis but instructors face significant hurdles in providing formal training in computer programming, statistics, and genomics to biology ...
Seema B Plaisier, Danielle O Alarid, Joelle A Denning, Sara E Brownell, Kenneth H Buetow, Katelyn M Cooper, Melissa A Wilson   +6 more
doaj   +1 more source

Inverse Light Scattering Problem in a Planar Waveguide with Statistical Subwavelength Irregularities: Theory and Computer Simulation

Journal of Computational Methods in Sciences and Engineering, 2002
An approximate correct solution of the inverse problem of light scattering in a planar waveguide with small statistical irregularities is obtained. The latter is reduced to the determination of the autocorrelation function of irregularities on the far zone scattering data.
openaire   +4 more sources

Distributions of Quadratic Functionals of the Fractional Brownian Motion Based on a Martingale Approximation [PDF]

We discuss some computational problems associated with distributions of statistics arising from the fractional Brownian motion (fBm). In particular, we deal with (ratios of) its quadratic functionals.
Tanaka, Katsuto
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