Sledovat
Michael Higgins
Michael Higgins
Kansas State University
E-mailová adresa ověřena na: ksu.edu
Název
Citace
Citace
Rok
A new automated redistricting simulator using Markov chain Monte Carlo
B Fifield, M Higgins, K Imai, A Tarr
Working Paper. Available at http://imai. princeton. edu/research/files …, 2016
169*2016
Improving massive experiments with threshold blocking
MJ Higgins, F Sävje, JS Sekhon
Proceedings of the National Academy of Sciences 113 (27), 7369-7376, 2016
792016
Nitrogen oxides and ozone in urban air: A review of 50 plus years of progress
LE Erickson, GL Newmark, MJ Higgins, Z Wang
Environmental Progress & Sustainable Energy 39 (6), e13484, 2020
492020
Generalized Full Matching
F Sävje, MJ Higgins, JS Sekhon
arXiv preprint arXiv:1703.03882, 2017
41*2017
Sharper p-values for stratified election audits
MJ Higgins, RL Rivest, PB Stark
Statistics, Politics, and Policy 2 (1), 2011
172011
Does dividing the range by four provide an accurate estimate of a standard deviation in family science research? A teaching editorial
WR Schumm, M Higgins, L Lockett, S Huang, N Abdullah, A Asiri, K Clark, ...
Marriage & Family Review 53 (1), 1-23, 2017
142017
Blocking estimators and inference under the Neyman-Rubin model
MJ Higgins, F Sävje, JS Sekhon
arXiv preprint arXiv:1510.01103, 2015
92015
A new method for quantifying network cyclic structure to improve community detection
B Moradi-Jamei, H Shakeri, P Poggi-Corradini, MJ Higgins
Physica A: Statistical Mechanics and its Applications 561, 125116, 2021
72021
Nitrogen Dioxide and Ozone Pollution in the Chicago Metropolitan Area
Z Wang, JL Anthony, LE Erickson, MJ Higgins, GL Newmark
Journal of Environmental Protection 11 (08), 551, 2020
62020
Estimating the Standard Deviation From the Range: a Replication of Analysis of Demographic Data Reported in Marriage & Family Review, 2016-2017
WR Schumm, DW Crawford, M Higgins, L Lockett, A AlRashed, ...
Marriage & Family Review 54 (8), 777-792, 2018
62018
Detecting Treatment Interference under the K-Nearest-Neighbors Interference Model
SH Alzubaidi, MJ Higgins
arXiv preprint arXiv:2203.16710, 2022
42022
From one environment to many: The problem of replicability of statistical inferences
JJ Higgins, MJ Higgins, J Lin
The American Statistician, 1-9, 2020
42020
Estimation of Causal Effects Under K-Nearest Neighbors Interference
S Alzubaidi, MJ Higgins
arXiv preprint arXiv:2307.15204, 2023
32023
Applications of Integer Programming Methods to Solve Statistical Problems
MJ Higgins
University of California, Berkeley, 2013
22013
The Benefits of Probability-Proportional-to-Size Sampling in Cluster-Randomized Experiments
Y Xiong, MJ Higgins
arXiv preprint arXiv:2002.08009, 2020
12020
Hybridized Threshold Clustering for Massive Data
J Luo, CV Annakula, AS Kannamareddy, JS Sekhon, WH Hsu, M Higgins
arXiv preprint arXiv:1907.02907, 2019
12019
Operating subsidies and transit efficiency: applying new metrics to old problems
CD Funk, MJ Higgins, GL Newmark
Transportation, 1-20, 2023
2023
Demystifying Statistical Matching Algorithms for Big Data
S Weerasingha, MJ Higgins
arXiv preprint arXiv:2309.05859, 2023
2023
Systém momentálně nemůže danou operaci provést. Zkuste to znovu později.
Články 1–18