Faculty

Institution

Unit

Venue

Partha Lahiri

Professor Statistics Program Professor and Director

University of Maryland, College Park

Partha Lahiri is currently serving as a Professor Statistics Program Professor and Director at University of Maryland, College Park.

Honors

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Experiences

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Education

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Partha Lahiri

University of Maryland, College Park

Professor Statistics Program Professor and Director

You can click a keyword to filter the displayed items

statistics applied statistics statistical methodology statistical inference biostatistics statistical theory small area estimation estimation theory sampling bayesian analysis applied mathematics survey methodology data science statistical hypothesis test machine learning research bayesian statistics sampling (statistics) model selection parameter estimation bayesian inference statistical science estimation statistic statistical models robust statistics bayesian hierarchical modeling parameter identification poverty measurement demographic forecasting empirical bayes estimation small area proportions computational statistics bibliometrics linked data multivariate analysis statistical analysis approximate bayesian computation linear mixed models small-area estimation finite population unemployment rates world bank economic thoracic surgery surgical education economic analysis economic modelling economic research digital scholarship documentation regression analysis bootstrap resampling state estimation link analysis statistical review linked data visualization disease mapping statistical learning theory density estimation statistical modeling principal component analysis benchmark datasets location estimation hyperparameter estimation error correction mixed model prediction unified measure empirical best prediction unified jackknife theory robust estimation small area estimators hierarchical bayes estimation parametric bootstrap approximation four-person families big data geographical information science data analytics applied geography geospatial data

Notable Scholarly Works

Notable Federal Grants

Collaborators

Special Issue Sma: Big Data and Alternative Data Sources for Small Area Estimation. Statistical Methods & Applications (2024)

Monica PratesiRoberta SicilianoPartha Lahiri

special issue smasmall area estimationstatisticsbig dataalternative data sourcesstatistical methodologyspecial issue

A Nested Error Regression Model With High-Dimensional Parameter for Small Area Estimation. Journal of the Royal Statistical Society Series B (Statistical Methodology) (2023)

Partha LahiriNicola Salvati

small area estimationhigh-dimensional parameterstatisticsstatistical methodologyestimation theoryapplied statistics

Discussion of “Probability vs. Nonprobability Sampling: From the Birth of Survey Sampling to the Present Day” by Graham Kalton. Statistics in Transition New Series (2023)

Julie GershunskayaPartha Lahiri

statistical inferencestatisticsstatistical theorysamplingstatistical methodologynonprobability samplingsampling (statistics)graham kaltonprobability theorysurvey methodologysampling theory

Estimation of Finite Population Proportions for Small Areas: A Statistical Data Integration Approach. arXiv (Cornell University) (2023)

Sen, AditiLahiri, Partha

finite population proportionsstatisticssmall areassampling

Spatial Prediction in Small Area Estimation. Statistics in Transition New Series (2023)

Martin VogtPartha LahiriRalf Münnich

small area estimationstatisticsspatial predictionspatial statistical analysisapplied statistics

An Innovative Approach to Measure Multidimensional Poverty: A Synthesis Method. Statistical Journal of the IAOS (2022)

Dilshanie DeepawansaPriyanga DunusinghePartha LahiriRamani Gunatilaka

statisticsstatistical methodologypovertymultidimensional povertypoverty measurementapplied statistics

Bayesian Synthetic Prediction of State Level Poverty Using Indian Household Consumer Expenditure Survey Data1. Statistical Journal of the IAOS (2022)

Soumojit DasAtanushasan BasuPartha LahiriShreya Sengupta

government spendingstate level povertystatistical inferencestatisticseconomicspovertybayesian analysisbayesian econometricsdata sciencebayesian hierarchical modelingbayesian synthetic predictionstatistical modelsmachine learning researchpoverty measurementdemographic forecastingdemographyapplied statistics

Combining Survey and Geospatial Data Can Significantly Improve Gender-Disaggregated Estimates of Labor Market Outcomes. World Bank policy research working paper (2022)

Joshua D. MerfeldDavid NewhouseMichael WeberPartha Lahiri

gender-disaggregated estimatesgeographylabor market outcomes

Discussion. JTCVS Open (2022)

Linda W. Martin

outcomes researchpostoperative considerationenhanced recoverythoracic surgeryenhanced recovery programrecoverysurgical educationpatient safetysurgeryorthopaedic surgery

Estimation of Mask Effectiveness Perception for Small Domains Using Multiple Data Sources. Statistics in Transition New Series (2022)

Aditi SenPartha Lahiri

statisticssmall domainsmultiple data sourcesmask effectiveness perceptionapplied statistics

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Partha Lahiri

Professor Statistics Program Professor and Director

University of Maryland, College Park

Partha Lahiri is currently serving as a Professor Statistics Program Professor and Director at University of Maryland, College Park.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Partha Lahiri

University of Maryland, College Park

Professor Statistics Program Professor and Director

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Special Issue Sma: Big Data and Alternative Data Sources for Small Area Estimation. Statistical Methods & Applications (2024)

Monica PratesiRoberta SicilianoPartha Lahiri

special issue smasmall area estimationstatisticsbig dataalternative data sourcesstatistical methodologyspecial issue

A Nested Error Regression Model With High-Dimensional Parameter for Small Area Estimation. Journal of the Royal Statistical Society Series B (Statistical Methodology) (2023)

Partha LahiriNicola Salvati

small area estimationhigh-dimensional parameterstatisticsstatistical methodologyestimation theoryapplied statistics

Discussion of “Probability vs. Nonprobability Sampling: From the Birth of Survey Sampling to the Present Day” by Graham Kalton. Statistics in Transition New Series (2023)

Julie GershunskayaPartha Lahiri

statistical inferencestatisticsstatistical theorysamplingstatistical methodologynonprobability samplingsampling (statistics)graham kaltonprobability theorysurvey methodologysampling theory

Estimation of Finite Population Proportions for Small Areas: A Statistical Data Integration Approach. arXiv (Cornell University) (2023)

Sen, AditiLahiri, Partha

finite population proportionsstatisticssmall areassampling

Spatial Prediction in Small Area Estimation. Statistics in Transition New Series (2023)

Martin VogtPartha LahiriRalf Münnich

small area estimationstatisticsspatial predictionspatial statistical analysisapplied statistics

An Innovative Approach to Measure Multidimensional Poverty: A Synthesis Method. Statistical Journal of the IAOS (2022)

Dilshanie DeepawansaPriyanga DunusinghePartha LahiriRamani Gunatilaka

statisticsstatistical methodologypovertymultidimensional povertypoverty measurementapplied statistics

Bayesian Synthetic Prediction of State Level Poverty Using Indian Household Consumer Expenditure Survey Data1. Statistical Journal of the IAOS (2022)

Soumojit DasAtanushasan BasuPartha LahiriShreya Sengupta

Combining Survey and Geospatial Data Can Significantly Improve Gender-Disaggregated Estimates of Labor Market Outcomes. World Bank policy research working paper (2022)

Joshua D. MerfeldDavid NewhouseMichael WeberPartha Lahiri

gender-disaggregated estimatesgeographylabor market outcomes

Discussion. JTCVS Open (2022)

Linda W. Martin

outcomes researchpostoperative considerationenhanced recoverythoracic surgeryenhanced recovery programrecoverysurgical educationpatient safetysurgeryorthopaedic surgery

Estimation of Mask Effectiveness Perception for Small Domains Using Multiple Data Sources. Statistics in Transition New Series (2022)

Aditi SenPartha Lahiri

statisticssmall domainsmultiple data sourcesmask effectiveness perceptionapplied statistics

1
2
3
4
5
6
7
10 / page

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Tapan K. Nayak

Institution

George Washington University

software engineering

statistics

Lizhen Lin

Institution

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statistics

bayesian analysis

Mai Zhou

Institution

University of Kentucky

large sample theory

sampling (statistics)

Marianna Pensky

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network models

statistical theory

Min Wang

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bayesian inference

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statistical modeling

biomedical informatics