Search · four archives
Search · four archives
19 papers · ranked by Valyu relevance
Ashish Cherukuri
This paper focuses on a class of variational inequalities (VIs), where the map defining the VI is given by the component-wise conditional value-atrisk (CVaR) of a random function. We focus on solving the VI using sample average approximation, where solutions of the VI are estimated with solutions of a sample average VI…
Oğuz Mesüm, Ali Rana Atilgan, Burak Kocuk
Antibiotics Time Machine is an important problem to understand antibiotic resistance and how it can be reversed. Mathematically, it can be modelled as follows: Consider a set of genotypes, each of which contain a set of mutated and unmutated genes. Suppose that a set of growth rate measurements of each genotype under a…
Jobst Heitzig
We develop a theory of estimation when in addition to a sample of n observed outcomes the underlying probabilities of the observed outcomes are known, as is typically the case in the context of numerical simulation modeling, e.g. in epidemiology. For this enriched information framework, we design unbiased and…
Kenneth Lopez Perez, Bill Zhao, Ramon Alain Miranda Quintana
The average and variance of the molecular similarities in a set is high-value and useful information for cheminformatics tasks like chemical space exploration and subset selection. However, the calculation of the variance of the complete similarity matrix has a quadratic complexity, O(N^2^). As the sizes of molecular…
Dai Akita
Standard practice obtains an unbiased variance estimator by dividing by N − 1 rather than N. Yet if only half the data are used to compute the mean, dividing by N can still yield an unbiased estimator. We show that an alternative mean estimator Xˆ = PcnXn can produce such an unbiased variance estimator with denominator…
Tiffany N. Kolba, Alexander Bruno, Eugene Demidenko
We examine the accuracy and precision of parameter estimates for both the exponential and normal distributions when using only a collection of sample extremes. That is, we consider a collection of random variables, where each of the random variables is either the minimum or maximum of a sample of n*j independent…
Authors not listed
Quantities calculated from molecular simulations are often subject to an initial bias due to unrepresentative starting configurations. Initial data are usually discarded to reduce bias. Chodera's method for automated truncation point selection [J. Chem. Theory Comput. 2016, 12, 4, 1799–1805] is popular but has not been…
Junya Watanabe
Theory predicts that the additive genetic covariance (G) matrix determines a population’s short-term (in)ability to respond to directional selection—evolvability in the Hansen–Houle sense—which is typically quantified and compared via certain scalar indices called evolvability measures. Often, interest is in obtaining…
Ben O’Neill, Zhongxue Chen
We analyse standard confidence intervals for the mean of a finite population, with a view to sample size determination. We first consider a standard method for sample size determination based on the assumption of knowledge of the population variance parameter. We then consider the more realistic case where the…
Authors not listed
One of the main applications for which quantum computers are hoped to find utility is in simulating ground state energies and other observables of molecular chemical systems. The recently proposed sample-based diagonalization method is a readily implementable method for this task on current-day hardware using short…
S. Arati, P. Devaraj, Ankush Kumar Garg
In this paper, the problem of reconstruction of signals in mixed Lebesgue spaces from their random average samples has been studied. Probabilistic sampling inequalities for certain subsets of shiftinvariant spaces have been derived. It is shown that the probabilities increase to one when the sample size increases.…
Xiongming Dai, Gerald Baumgartner
A resampling scheme provides a way to switch low-weight particles for sequential Monte Carlo with higher-weight particles representing the objective distribution. The less the variance of the weight distribution is, the more concentrated the effective particles are, and the quicker and more accurate it is to…
G. Fischer, J. Haueisen, D. Baumgarten, M. Kofler
N -Interval Fourier Transform Analysis (N -FTA) allows for spectral separation of an evoked target signal from uncorrelated background activity. It computes the frequency-dependent evoked-to-background ratio (EBR). The developed method allows for conversion of the spectral EBR into expected values for improvement of…
Ben O’Neill
suggestions to clear the cobwebs Authors: ['Ben O’Neill'] This paper gives a holistic overview of both the design-based and model-based paradigms for sampling theory. Both methods are presented within a unified framework with a simple consistent notation, and the differences in the two paradigms are explained within…
Linke Li, Hawre Jalal, Anna Heath
[Download Media](sj-pdf-3-mdm-10.1177_0272989X251324936.pdf) Supplemental material, sj-pdf-3-mdm-10.1177_0272989X251324936 for A Nonparametric Approach for Estimating the Effective Sample Size in Gaussian Approximation of Expected Value of Sample Information by Linke Li, Hawre Jalal and Anna Heath in Medical Decision…
Ulises Bercovich, Carsten Wiuf, Anders Albrechtsen
Linkage disequilibrium is a central statistic in population genetic studies, commonly measured by the squared correlation between pairs of genetic variants. An important drawback of this measure is its upward bias caused by a finite sample size. To handle this, different methods exist that correct for sample-size bias.…
Authors not listed
Accurate and efficient calculation of alchemical free energies is a critical challenge in computational chemistry, frequently hindered by the inherent limitations of conventional Thermodynamic Integration (TI) methods. These limitations include poor phasespace overlap between discrete alchemical states, inefficient…
Kseniia Marcq, Björn Andersson
In standardized testing, equating is used to ensure comparability of test scores across multiple test administrations. One equipercentile observed-score equating method is kernel equating, where an essential step is to obtain continuous approximations to the discrete score distributions by applying a kernel with a…
Haiyan Zheng, Thomas Jaki, James M.S. Wason
This paper develops Bayesian sample size formulae for experiments comparing two groups, where relevant preexperimental information from multiple sources can be incorporated in a robust prior to support both the design and analysis. We use commensurate predictive priors for borrowing of information and further place…