Efficient inference for genetic association studies with multiple outcomes
, 2017 Combined inference for heterogeneous high-dimensional data is critical in modern biology, where clinical and various kinds of molecular data may be available from a single study.
Davison, Anthony C. +3 more
core +1 more source
Computational Analysis and Classification of Hernia Repairs
Applied SciencesProblems related to ventral hernia repairs (VHR) are very common, and evaluating them using computational methods can assist in selecting the most appropriate treatment.
Hana Charvátová +4 more
doaj +1 more source
Parallelized Adaptive Importance Sampling for Solving Inverse Problems
Frontiers in Earth Science, 2018 In the field of groundwater hydrology and more generally geophysics, solving inverse problems in a complex, geologically realistic, and discrete model space often requires the usage of Monte Carlo methods.
Christoph Jäggli +2 more
doaj +1 more source
On computing sparse universal solvers for key problems in statistics
We give sparsity results and present algorithms for calculating minimum (vector) 1-norm universal solvers connected to least-squares problems. In particular, besides universal least-squares solvers, we consider minimum-rank universal least-squares solvers, and simultaneous universal minimum-norm/least-squares solvers.
Machado, Ananias Sousa +2 more
openaire +2 more sources
Portfolio Decisions with Higher Order Moments [PDF]
In this paper, we address the global optimization of two interesting nonconvex problems in finance. We relax the normality assumption underlying the classical Markowitz mean-variance portfolio optimization model and consider the incorporation of skewness
Berc Rustem, P. M. Kleniati
core
On the expected diameter, width, and complexity of a stochastic convex-hull
, 2017 We investigate several computational problems related to the stochastic convex hull (SCH). Given a stochastic dataset consisting of $n$ points in $\mathbb{R}^d$ each of which has an existence probability, a SCH refers to the convex hull of a realization ...
A Jørgensen +8 more
core +1 more source
SampSizeCal: The platform-independent computational tool for sample sizes in the paradigm of new statistics [PDF]
Network BiologyDependent upon the statistical significance p-value and statistical power, the sample size estimation is widely used in various experimental sciences.
WenJun Zhang
doaj
Quantum speedup for nonreversible Markov chains
Nature CommunicationsQuantum algorithms can potentially solve a handful of problems more efficiently than their classical counterparts. In that context, it has been discussed that Markov chains problems could be solved significantly faster using quantum computing.
Baptiste Claudon +2 more
doaj +1 more source
Statistical-computational trade-offs in tensor PCA and related problems via communication complexity
The Annals of StatisticsTensor PCA is a stylized statistical inference problem introduced by Montanari and Richard to study the computational difficulty of estimating an unknown parameter from higher-order moment tensors. Unlike its matrix counterpart, Tensor PCA exhibits a statistical-computational gap, i.e., a sample size regime where the problem is information ...
Dudeja, Rishabh, Hsu, Daniel
openaire +3 more sources
R - evolution in Time Series Analysis Software Applied on R - omanian Capital Market [PDF]
Computational Methods in Social Sciences, 2014 Worldwide and during the last decade, R has developed in a balanced way and nowadays it represents the most powerful tool for computational statistics, data science and visualization.
Ciprian ALEXANDRU +2 more
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