23 papers · ranked by Valyu relevance
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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…
Jianshu Guo, Xinying Zheng, Tongtong Qin, Meng Lv + 8 more
'Xiaolin Song' 'Hongying Qiu' 'Lingfei Hu' 'Lili Zhang' 'Dongsheng Zhou' 'Yansong Sun' 'Wenhui Yang'] Aerosol samplers are critical tools for studying indoor and outdoor aerosols. Development and evaluation of samplers is often labor-intensive and time-consuming due to the need to use monodisperse aerosols spanning a…
Pengcheng Zhao, Pak-To Chan, Nan Zhang, Yuguo Li + 3 more
'Lauren Petrick' 'Maaike van Gerwen'] Surface sampling is a frequent task in laboratory work and field studies. Simple methods usually have low efficiency in collecting target substances from surfaces. This study developed an advanced tape-stripping approach for efficient sampling on non-absorbent surfaces. A…
Bokun Sun, Ziyang Wang, Jiayun Huang, Yumeng Li + 4 more
While particulate matter (PM) instruments are widely used for air quality monitoring and policy development, there is limited research on how wind speed (U0) and contact angle (θ) affect the measurement accuracy of submicron PM, or particles with their diameters ≤ one µm (PM1). This study addresses this gap by…
Haoyang Lu, Hang Zhang, Li Yi
Efficient information sampling is crucial for human inference and decision-making, even for young children. Information sampling is also closely associated with the core symptoms of autism spectrum disorder (ASD), since both the social interaction difficulties and repetitive behaviors suggest that autistic people may…
Johann F. Jadebeck, Wolfgang Wiechert, Katharina Nöh
Thinning is a sub-sampling technique to reduce the memory footprint of Markov chain Monte Carlo. Despite being commonly used, thinning is rarely considered efficient. For sampling convex polytopes uniformly, a highly relevant use-case in systems biology, we here demonstrate that thinning generally boosts computational…
Muhammad Azeem, Sundus Hussain, Musarrat Ijaz, Najma Salahuddin + 1 more
'Abdul Salam'] In survey sampling, systematic sampling design has attracted survey researchers in recent years due to its simplicity of use. We introduce a modified variant of systematic sampling scheme which improves the efficiency of a recently developed diagonal systematic sampling method. The suggested modification…
Zhimian Hao, Chonghuan Zhang, Alexei Lapkin
We propose a workflow for reduction in the time required for data generation during generation of statistical digital twins. This methodology is particularly relevant for real-world engineering problems when data generation is expensive. A prerequisite for building surrogates is sufficient input/output data, whereas…
Luis Mendo
Given two populations from which independent binary observations are taken with parameters p1 and p2 respectively, estimators are proposed for the relative risk p1/p2, the odds ratio p1(1− p2)/(p2(1− p1)) and their logarithms. The estimators guarantee that the relative mean-square error, or the mean-square error for…
Vı́ctor Elvira, Luca Martino, Christian P. Robert
> Abstract. The effective sample size (ESS) is widely used in samplebased simulation methods for assessing the quality of a Monte Carlo approximation of a given distribution and of related integrals. In this paper, we revisit and complete the approximation of the ESS in the specific context of importance sampling (IS).…
Kishore L, Geetha E, Shivaprasad S P, Sachin R Chandra + 1 more
Background Data Envelopment Analysis (DEA) methodology is considered the most suitable approach for relative performance efficiency calculation for banks as it is believed to be superior to traditional ratio-based analysis and other conventional performance evaluations. This study provides statistical evidence on the…
Jake M. Ferguson, Laura Jiménez, Aislyn A. Keyes, Austen Hilding + 4 more
Abundance surveys are a common and practical technique to estimate plant or animal densities. Methods used to conduct these surveys often require jointly estimating uncertainty in both counts and detection probability. The estimation of detection probability requires additional measurements that take time, potentially…
Mohsin Abbas, Muhammad Ahmed Shehzad, Mahwish Rabia, Haris Khurram + 2 more
'Muhammad Ijaz' 'Eugene Demidenko'] Accurate estimation of the finite population mean is a fundamental challenge in survey sampling, especially when dealing with large or complex populations. Traditional methods like simple random sampling may not always provide reliable or efficient estimates in such cases. Motivated…
Yuji Kaiya, Ryo Tamura, Koji Tsuda
Kinetic models are widely used in simulating the relationship between the input space and the outcome space of a chemical process. Ignoring the computational cost, complete profiling, i.e., performing simulation at all grid points in the input space, would be the best way to understand the model, because it provides us…
Jeff Guo, Philippe Schwaller
Sample efficiency is a fundamental challenge in de novo molecular design. Ideally, molecular generative models should learn to satisfy desired objectives under minimal oracle evaluations (computational prediction or wet-lab experiment). This problem becomes more apparent when using oracles that can provide increased…
Jeff Guo, Philippe Schwaller
Sample efficiency is a fundamental challenge in de novo molecular design. Ideally, molecular generative models should learn to satisfy desired objectives under minimal oracle evaluations (computational prediction or wet-lab experiment). This problem becomes more apparent when using oracles that can provide increased…
Riccardo Fogliato, Pratik Patil, Mathew Monfort, Pietro Perona
Sampling, and Estimation Authors: ['Riccardo Fogliato' 'Pratik Patil' 'Mathew Monfort' 'Pietro Perona'] Model performance evaluation is a critical and expensive task in machine learning and computer vision. Without clear guidelines, practitioners often estimate model accuracy using a one-time completely random…
Jonne Pohjankukka, Sakari Tuominen, Jukka Heikkonen
Survey sampling plays an important role in the efficient allocation and management of resources. The essence of survey sampling lies in acquiring a sample of data points from a population and subsequently using this sample to estimate the population parameters of the targeted response variable, such as…
Jae Kwang Kim
This textbook on survey sampling has its origins in a set of lecture notes prepared for a course on survey sampling at Iowa State University. Over the years, these notes have been refined and expanded into the comprehensive volume you now hold. It is designed to serve both as an introductory text for students and as a…
Svend Erik Mathiassen, Amanda Waleh Åström, Annika Strömberg, Marina Heiden
In [pone.0307247.g001], the efficiency ordinate scale in panel B is incorrect. Please see the correct [pone.0307247.g001] here. Enlarged sections of Fig 1, corresponding to the examples in the running text of sampling efficiency for different strategies at a specified budget ([pone.0307247.g001]), and costs for…
Carol Y. Liu
reduction Authors: ['Carol Y. Liu'] In this paper, we address the challenge of sampling in scenarios where limited resources prevent exhaustive measurement across all subjects. We consider a setting where samples are drawn from multiple groups, each following a distribution with unknown mean and variance parameters. We…
Thomas D. Schneider
Unlike the Carnot heat engine efficiency published in 1824, an isothermal efficiency derived from thermodynamics and information theory can be applied to biological systems. The original approach by Pierce and Cutler in 1959 to derive the isothermal efficiency equation came from Shannon’s channel capacity of 1949 and…
Sterling Baird, Jason R. Hall, Taylor D. Sparks
Would you rather search for a line inside a cube or a point inside a square? Physics-based simulations and wet-lab experiments often have symmetries (degeneracies) that allow reducing problem dimensionality or search space, but constraining these degeneracies is often unsupported or difficult to implement in many…