Search · four archives
Search · four archives
21 papers · ranked by Valyu relevance
Blanco, Víctor, Martínez-Antón, Miguel
We propose a general analytical framework for single-facility continuous location problems under spatial demand uncertainty. In contrast to classical formulations based on discrete or regionally aggregated demands, the proposed model represents uncertainty through general probability measures on R d , thereby…
Yan Li
It is well known that estimating the expectation of any given bounded random variable with values in $[-B, B]$ has a sample complexity of $\mathcal{O}(B^2/ε^2)$ that is independent of the underlying probability measure. We show that this property can no longer hold when evaluating the worst-case expectation of the…
Authors not listed
The rapid growth of worldwide computing power has transformed in silico chemistry into a discipline that is integrated into the daily work of many chemists. Nowadays, researchers find it increasingly straightforward to predict a wide range of molecular properties and chemi- cal processes at reasonable computational…
Guillaume A. Rousselet
Most statistical inferences in neuroscience and psychology are based on frequentist statistics, which rely on sampling distributions: the long-run outcomes of multiple experiments, given a certain model. Yet, sampling distributions are poorly understood and rarely explicitly considered when making inferences. In this…
Ke Yang, Jiandong Shi, Jianxin Pan, Jiming Liu + 2 more
Meta-analysis with continuous outcomes presents a range of methodological challenges. Among these, two issues have received increasing attention: (i) integrating studies that report only the five-number summary (such as the median, interquartile range, and range) rather than the sample mean and standard deviation (SD)…
Sreya T, A. Antony Selvan
In this paper, we introduce the Bernoulli--Strang--Fix conditions and their generalized versions for a vector-valued generator $\varphi=(\varphi_0,\dots,\varphi_{ρ-1})$ and a periodic nonuniform sampling set $X$. We use these conditions to establish exact and asymptotic polynomial reproduction properties of sampling…
Seo Taek Kong, R. Srikant
This paper derives non-asymptotic error bounds for nonlinear stochastic approximation algorithms in the Wasserstein-p distance. To obtain explicit finite-sample guarantees for the last iterate, we develop a coupling argument that compares the discrete-time process to a limiting Ornstein-Uhlenbeck process. Our analysis…
Jongmin Lee, Ernest K. Ryu
Although there is an extensive body of work characterizing the sample complexity of discounted-return offline RL with function approximations, prior work on the average-reward setting has received significantly less attention, and existing approaches rely on restrictive assumptions, such as ergodicity or linearity of…
Wenqisi Pan, Zeyu Lu, Wei Jiang, Johan Lim + 2 more
In meta-analyses of continuous outcomes, the sample mean and standard deviation (SD) are essential for synthesizing effect sizes across studies. However, clinical studies frequently report alternative summary statistics, such as the median, quartiles, and range. To enable inclusion of such studies, various methods have…
Nadav Ben Nun, Saharon Rosset, David Gresham, Yoav Ram
High-throughput experimental platforms now routinely generate data from dozens or hundreds of independent observations. Simulation-based inference (SBI) offers a powerful framework for estimating model parameters from such complex datasets, but standard methods struggle to scale to the noisy multiple-replicates regime…
Fazal Shakoor, Muhammad Asif, Muhammad Atif, Khazan Sher
This paper proposes a novel logarithmic-type estimator for the estimation of the population mean under stratified random sampling when a single auxiliary variable is available. By employing a logarithmic transformation, the suggested estimator more effectively exploits auxiliary information, leading to improved…
Bruce S. Weir, Jérôme Goudet
We review the rich literature on the estimation of measures of inbreeding, relatedness and population structure, beginning with Sewall Wright’s F-statistics and moving onto the descriptive statistics of Masatoshi Nei and Clark Cockerham. The current availability of genome-level single nucleotide variant data is…
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.…
Neriman Akdam, Osama Abdulaziz Alamri, Subhankar Dutta, Fatma Çiftci + 1 more
In this study, the maximum likelihood estimators (MLEs) and Bayes estimators for the shape and scale parameters of Inverse Exponential Power (IEP) distribution are derived. As closed-form solutions for the Bayes estimators are not available, approximate estimators are obtained through Lindley’s and Tierney-Kadane’s…
Benjamin S. Ruben, Cengiz Pehlevan
The Marr–Albus framework describes learning in Purkinje cells (PCs) through supervised plasticity associated with complex spikes. However, complex spikes occur with low probability in individual PCs following sensorimotor events, and PCs are organized into “microzones” with shared complex spike tuning and outputs. We…
Richard D. Riley, Rebecca Whittle, Mohsen Sadatsafavi, Glen P. Martin + 3 more
Background When developing or updating a predictive algorithm to make predictions (e.g., risk estimates) in individuals, the sample size of the development (training) dataset is an important consideration. Small datasets reduce a model’s predictive performance, generalisability and fairness, and may lead to harm. To…
Authors not listed
Solvent-accessible surface area (SASA) is a central quantity in computational biochemistry, structural biology, and molecular modeling, with applications ranging from protein folding to ligand binding. Widely used approaches such as Shrake-Rupley, Lee-Richards, and LCPO estimate SASA through geometric sampling or…
Anne-Marie Toparkus, Rafael Weißbach
Given a double-truncated sample of lifespans, we test the hypothesis of a parametric distribution family for the lifespan. Demography typically certifies the life expectancy to be nonstationary in time. We model the resulting dependence between a lifespan and the birthday of an individual with a copula. Our main…
Nagananda K G, Jong Sung Kim
We develop a partial differential equation formulation of the Behrens-Fisher problem for two independent normal samples with unknown and unequal variances. An orthogonal decomposition separates mean and residual components (corresponding to the centered within-sample variation left after removal of the mean directions)…
Authors not listed
Chemical hardness is one of the fundamental concepts in chemical reactivity theory, rigorously defined within the framework of Conceptual Density Functional Theory (CDFT). The associated maximum hardness principle (MHP), which postulates that, a favorable direction of reaction is towards the state of maximum hardness…
Authors not listed
Data-driven approaches offer great potential for accelerating ab initio electronic structure calculations of molecules and materials but their transferability is often limited due to the vast amount of data needed for training, including when addressing the need to fine-tune universal models for each specific system to…