24 papers · ranked by Valyu relevance
Gianluca Boo, Edith Darin, Dana R. Thomson, Andrew J. Tatem
Traditional sample designs for household surveys are contingent upon the availability of a representative primary sampling frame. This is defined using enumeration units and population counts retrieved from decennial national censuses that can become rapidly inaccurate in highly dynamic demographic settings. To tackle…
Dana R. Thomson, Forrest R. Stevens, Nick W. Ruktanonchai, Andrew J. Tatem + 1 more
'Andrew J. Tatem' 'Marcia C. Castro'] Background Household survey data are collected by governments, international organizations, and companies to prioritize policies and allocate billions of dollars. Surveys are typically selected from recent census data; however, census data are often outdated or inaccurate. This…
Zhijian He, Lingjiong Zhu
Recently, He and Owen (2016) proposed the use of Hilbert's space filling curve (HSFC) in numerical integration as a way of reducing the dimension from d > 1 to d = 1. This paper studies the asymptotic normality of the HSFC-based estimate when using scrambled van der Corput sequence as input. We show that the estimate…
Robert F. Chew, Safaa Amer, Kasey Jones, Jennifer Unangst + 3 more
'James Cajka' 'Justine Allpress' 'Mark Bruhn'] Background Conducting surveys in low- and middle-income countries is often challenging because many areas lack a complete sampling frame, have outdated census information, or have limited data available for designing and selecting a representative sample. Geosampling is a…
Aneesh P. Naik, Michael Petersen
lintsampler provides a Python implementation of a technique we term 'linear interpolant sampling': an algorithm to efficiently draw pseudo-random samples from an arbitrary probability density function (PDF). First, the PDF is evaluated on a grid-like structure. Then, it is assumed that the PDF can be approximated…
Sarchil Hama Qader, Veronique Lefebvre, Andrew J. Tatem, Utz Pape + 7 more
'Warren Jochem' 'Kristen Himelein' 'Amy Ninneman' 'Philip Wolburg' 'Gonzalo Nunez-Chaim' 'Linus Bengtsson' 'Tomas Bird'] Background Household surveys are the main source of demographic, health and socio-economic data in low- and middle-income countries (LMICs). To conduct such a survey, census population information…
F. Laroche
Quantifying the autocorrelation range of a species distribution in space is necessary for applied ecological questions like implementing protected area networks or monitoring programs. However, building a spatial sampling design to accurately estimate this range can conflict with other objectives such as estimating…
Chaoqiang Feng, Yaolong Zhang, Bin Jiang
Response in Real Space Authors: ['Chaoqiang Feng' 'Yaolong Zhang' 'Bin Jiang'] Electron density is a fundamental quantity, which can in principle determine all ground state electronic properties of a given system. Although machine learning (ML) models for electron density based on either an atom-centered basis or a…
Grant Harris, Sean Farley, Gareth J. Russell, Matthew J. Butler + 2 more
'Jeff Selinger' 'Stuart Pimm'] Wildlife biologists often use grid-based designs to sample animals and generate abundance estimates. Although sampling in grids is theoretically sound, in application, the method can be logistically difficult and expensive when sampling elusive species inhabiting extensive areas. These…
Hana Zupan, Frederick Heinz, Bettina G. Keller
Binding processes are difficult to sample with molecular-dynamics (MD) simulations. In particular, the state space exploration is often incomplete. Evaluating the molecular interaction energy on a grid circumvents this problem but is heavily limited by state space dimensionality. Here, we make the first steps towards a…
Greg R. Guerin, Kristen J. Williams, Ben Sparrow, Andrew J. Lowe
Field-based sampling of terrestrial habitats at continental scales is required to build ecosystem observation networks. However, a key challenge for detecting change in ecosystem composition, structure and function is to obtain a representative sample of habitats. Representative sampling contributes to ecological…
Jing Xu, Yongbo Zhang
Process with Absolute Measurement Authors: ['Jing Xu' 'Yongbo Zhang'] Abstract —The power grid is a fundamental industry that is vital to the national economy and people's livelihoods. Ensuring the safety and reliability of the power grid is an ev erlasting concern for power grid enterprises, and it requires…
Chandrika Kamath
Sampling techniques are used in many fields, including design of experiments, image processing, and graphics. The techniques in each field are designed to meet the constraints specific to that field such as uniform coverage of the range of each dimension or random samples that are at least a certain distance apart from…
Ramakrishna Tipireddy, Nathan Wiebe
We introduce a novel Bayesian phase estimation technique based on adaptive grid refinement method. This method automatically chooses the number particles needed for accurate phase estimation using grid refinement and cell merging strategies such that the total number of particles needed at each step is minimal. The…
Alan. E. Gelfand, Shinichiro Shirota
Presence/absence data and presence-only data are the two customary sources for learning about species distributions over a region. We present an ambitious agenda with regard to such data. We illuminate the fundamental modeling differences between the two types of data. Most simply, locations are considered as fixed…
Chen Chen, Huakun Jia, Yang Lu, Xiaodong Zhang + 5 more
High precision geometric measurement of free-form surfaces has become the key to high-performance manufacturing in the manufacturing industry. By designing a reasonable sampling plan, the economic measurement of free-form surfaces can be realized. This paper proposes an adaptive hybrid sampling method for free-form…
Ian Knight, Khanh Tang, John Irwin
Molecular docking is a widely used technique for leveraging protein structure in ligand discovery, but as a method, it remains difficult to utilize due to limitations that have not been adequately addressed. Despite some progress towards automation, docking still requires expert guidance, hindering its adoption by a…
Robert Arbon, Yanchen Zhu, Antonia S. J. S. Mey
Markov state models (MSM) are a popular statistical method for analyzing the conformational dynamics of proteins, including protein folding. With all statistical and machine learning (ML) models choices must be made about the modeling pipeline that cannot be directly learned from the data. These choices, or…
Michael Hutcheon, Andrew Teale
Algorithms are presented for performing a topological analysis of an arbitrary function, evaluated on an arbitrary grid of points. These algorithms work strictly by post-processing the data and require no additional function evaluations. This is achieved by connecting the grid points with a neighbourhood graph…
Michael Hutcheon, Andrew Teale
Algorithms are presented for performing a topological analysis of an arbitrary function, evaluated on an arbitrary grid of points. These algorithms work strictly by post-processing the data and require no additional function evaluations. This is achieved by connecting the grid points with a neighbourhood graph…
Amey Pasarkar, Gianluca Bencomo, Simon Olsson, Adji Bousso Dieng
Molecular dynamics (MD) is the method of choice for understanding the structure, function, and interactions of molecules. However, MD simulations are limited by the strong metastability of many molecules, which traps them in a single conformation basin for an extended amount of time. Enhanced sampling techniques, such…
Ruizhi Zhang, Sohan Seth, James Cumby
Determining how similar two materials are in terms of both atomic composition and crystallographic structure remains a challenge, the solution of which would enable generalised machine learning using crystal structure data. We demonstrate a new method of describing crystal structures based on interatomic distances…
David L Miller, Eric Rexstad, Len Thomas, Laura Marshall + 1 more
Estimating the abundance and spatial distribution of animal and plant populations is essential for conservation and management. We introduce the R package Distance that implements distance sampling methods to estimate abundance. We describe how users can obtain estimates of abundance (and density) using the package as…
Zenabu Suboi, Thomas J. Hladish, Wim Delva, C. Marijn Hazelbag
Complex models are often fitted to data using simulation-based calibration, a computationally challenging process. Several calibration methods to improve computational efficiency have been developed with no consensus on which methods perform best. We did a simulation study comparing the performance of 5 methods that…