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Jan Pablo Burgard (1983-)

Volkswirt

Name	Jan Pablo Burgard
Time	1983- (Date of birth and death)
Place	Lüneburg (Geburtsort) Deutschland
Gender	männlich
Academic degree	Dr. rer. pol. (Promotion im Fachbereich IV Volkswirtschafstlehre an d. Univ. Trier) (2013)
Profession	Volkswirt (characteristic profession)
Related	Universität Trier (Akademischer Oberrat) (2013-) Universität Trier. Fach Volkswirtschaftslehre (Student) (2003-2009) Volkswirtschaft (Studienfach)
Further information	Research Innovation for Official and Survey Statistics (RIFOSS)
Record type	Person
GND-Identifier	1074717481
Record ID	1074717481
Involved in show all Mixed-integer quadratic optimization and iterative clustering techniques for semi-supervised support vector machines Mixed-Integer Optimization for Semi-Supervised Learning with Cardinality Constraints: Support Vector Machines, Classification Trees, and Random Forests Mixed-integer programming techniques for the minimum sum-of-squares clustering problem National and subnational short-term forecasting of COVID-19 in Germany and Poland during early 2021 Robustification of the k-means clustering problem and tailored decomposition methods: when more conservative means more accurate National and subnational short-term forecasting of COVID-19 in Germany and Poland during early 2021 A Riemannian Newton trust-region method for fitting Gaussian mixture models Small area estimation of socioeconomic indicators for sampled and unsampled domains On the Use of Aggregate Survey Data for Estimating Regional Major Depressive Disorder Prevalence $$\ell _2$$ ℓ 2 -penalized approximate likelihood inference in logit mixed models for regional prevalence estimation under covariate rank-deficiency A measurement error Rao–Yu model for regional prevalence estimation over time using uncertain data obtained from dependent survey estimates The generalized equivalence of regularization and min–max robustification in linear mixed models pre-registered short-term forecasting study of COVID-19 in Germany and Poland during the second wave Small area estimation under a measurement error bivariate Fay–Herriot model A Fay–Herriot model when auxiliary variables are measured with error Competitive Analysis of Scheduling Problems and List Accessing Problems Optimization in Tensor Spaces for Data Science and Scientific Computing Synthetic data for open and reproducible methodological research in social sciences and official statistics Synthetic data for open and reproducible methodological research in social sciences and official statistics Evaluation of Small Area Techniques for Applications in Official Statistics

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Katalog der Deutschen Nationalbibliothek

Jan Pablo Burgard (1983-)

Mixed-integer quadratic optimization and iterative clustering techniques for semi-supervised support vector machines

Mixed-Integer Optimization for Semi-Supervised Learning with Cardinality Constraints: Support Vector Machines, Classification Trees, and Random Forests

Mixed-integer programming techniques for the minimum sum-of-squares clustering problem

National and subnational short-term forecasting of COVID-19 in Germany and Poland during early 2021

Robustification of the k-means clustering problem and tailored decomposition methods: when more conservative means more accurate

National and subnational short-term forecasting of COVID-19 in Germany and Poland during early 2021

A Riemannian Newton trust-region method for fitting Gaussian mixture models

Small area estimation of socioeconomic indicators for sampled and unsampled domains

On the Use of Aggregate Survey Data for Estimating Regional Major Depressive Disorder Prevalence

$$\ell _2$$ ℓ 2 -penalized approximate likelihood inference in logit mixed models for regional prevalence estimation under covariate rank-deficiency

A measurement error Rao–Yu model for regional prevalence estimation over time using uncertain data obtained from dependent survey estimates

The generalized equivalence of regularization and min–max robustification in linear mixed models

pre-registered short-term forecasting study of COVID-19 in Germany and Poland during the second wave

Small area estimation under a measurement error bivariate Fay–Herriot model

A Fay–Herriot model when auxiliary variables are measured with error

Competitive Analysis of Scheduling Problems and List Accessing Problems

Optimization in Tensor Spaces for Data Science and Scientific Computing

Synthetic data for open and reproducible methodological research in social sciences and official statistics

Synthetic data for open and reproducible methodological research in social sciences and official statistics

Evaluation of Small Area Techniques for Applications in Official Statistics