Faculty

Institution

Unit

Venue

Jie Yang

Professor

University of Illinois Chicago

Affiliations

College of Liberal Arts and Sciences

Mathematics, Statistics, and Computer Science

Jie Yang is currently serving as a College Of Liberal Arts And Sciences Professor at University of Illinois Chicago.

Honors

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Experiences

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Education

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Jie Yang

University of Illinois Chicago

Professor

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statistics data science statistical methodology biostatistics genetics genomics applied statistics statistical theory machine learning virology bioinformatics optimal experimental design mathematical optimization financial mathematics d-optimal designs probability theory stochastic process bayesian analysis engineering optimization computational optimization virus classification experiment design rna biology binary response generalized linear models machine learning research finance research financial studies stochastic control stochastic systems stochastic calculus stochastic dynamical systems data classification classification method portfolio management portfolio optimization optimal investment security macroeconomic forecasting natural vectors d-optimal factorial designs stochastic classification models sparse data regional studies virus research plo biology automatic control control optimization genome biology decision science mathematics education cluster science bayesian inference viral evolution logistic regression automatic classification sequence analysis gene characterization statistical science portfolio allocation transport accident viral genetics computational genomics forecasting methodology genome-wide association studies medical genetics financial econometrics order theory real time classification antipsychotic medications time intervals metagenomic longitudinal studies multiple-segmented viruses outpatient follow-up visits permanental classification methods theorem 5.2.1 value functions informatics biomedical data analysis biomedical informatics biological data biosystems dimension reduction experimental design statistical software biological computation categorical data analysis systems biology

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Trigamma-Free Approach for Computing Information Matrices Related to Trigamma Function. Statistical Papers (2024)

Zhou YuNiloufar Dousti MousaviJie Yang

statisticsinformation matrices

FORLION: A New Algorithm for D-Optimal Designs Under General Parametric Statistical Models With Mixed Factors. Statistics and Computing (2024)

Yifei HuangKeren LiAbhyuday MandalJie Yang

mixed factorsd-optimal designsstatistics

Natural Cubic Spline Approximation of Risk-Neutral Density. International Journal of Financial Studies (2024)

Shuang ZhouLiyuan JiangKeren LiFangfang WangJie Yang

financial mathematicsmathematical financecomputational financederivative pricingfinancequantitative analysis (finance)natural cubic splinesstatisticsstatistical methodologyfinancial engineeringcubic spline methodapplied mathematicsrisk-neutral densityoption pricing

Response-Aided Score-Matching Representative Approaches for Big Data Analysis and Model Selection Under Generalized Linear Models. Algorithms (2024)

Duo ZhengKeren LiJie Yang

computational modelsbig data analysisstatistical inferencestatisticsmachine learning researchdata scienceapplied mathematicsbig datalinear modelsmachine learningmodel selectionstatistical models

Statistical Models for High-Risk Intestinal Metaplasia With Dna Methylation Profiling. Epigenomes (2024)

Tianmeng WangYifei HuangJie Yang

genomicsepigenomicsepidemiologybiostatisticshigh-risk intestinal metaplasiaepigeneticshealth sciencesdna methylation profiling

A General Equivalence Theorem for Crossover Designs Under Generalized Linear Models. Sankhya B (2023)

Jeevan JankarJie YangAbhyuday Mandal

general equivalence theoremgraph theorycrossover designsapplied mathematics

An R Package Aziad for Analysing Zero-Inflated and Zero-Altered Data. Journal of Statistical Computation and Simulation (2023)

Niloufar Dousti MousaviHani AldirawiJie Yang

zero-altered datadata science

Categorical Data Analysis for High-Dimensional Sparse Gene Expression Data. BioTech (2023)

Niloufar Dousti MousaviHani AldirawiJie Yang

genomicsgene expressionsystems biologybiotechnologycomputational genomicsbiostatisticsdata sciencecategorical data analysisbioinformatics

Constrained D-Optimal Design for Paid Research Study. Statistica Sinica (2023)

mechanism designdesign optimizationdesignresearch policyresearch designoptimal experimental designdesign theorypaid research studyoperations research

Exploring the Transcriptional and Translational Features Using Deep Neural Networks for Mrnas Classification. (2023)

Amira KefiMorris ChukhmanVinayakumar KarinthaSadok BouamamaJie YangChunyu Liu

gene expressiontranscription regulationmrnas classificationtranslational featurestranslational bioinformaticstranscription (biology)geneticsbiologymammalian biologydeep learningmolecular biologydeep neural networksrna biologyprotein sciencebioinformatics

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Jie Yang

Professor

University of Illinois Chicago

Affiliations

College of Liberal Arts and Sciences

Mathematics, Statistics, and Computer Science

Jie Yang is currently serving as a College Of Liberal Arts And Sciences Professor at University of Illinois Chicago.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Jie Yang

University of Illinois Chicago

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Trigamma-Free Approach for Computing Information Matrices Related to Trigamma Function. Statistical Papers (2024)

Zhou YuNiloufar Dousti MousaviJie Yang

statisticsinformation matrices

FORLION: A New Algorithm for D-Optimal Designs Under General Parametric Statistical Models With Mixed Factors. Statistics and Computing (2024)

Yifei HuangKeren LiAbhyuday MandalJie Yang

mixed factorsd-optimal designsstatistics

Natural Cubic Spline Approximation of Risk-Neutral Density. International Journal of Financial Studies (2024)

Shuang ZhouLiyuan JiangKeren LiFangfang WangJie Yang

Response-Aided Score-Matching Representative Approaches for Big Data Analysis and Model Selection Under Generalized Linear Models. Algorithms (2024)

Duo ZhengKeren LiJie Yang

computational modelsbig data analysisstatistical inferencestatisticsmachine learning researchdata scienceapplied mathematicsbig datalinear modelsmachine learningmodel selectionstatistical models

Statistical Models for High-Risk Intestinal Metaplasia With Dna Methylation Profiling. Epigenomes (2024)

Tianmeng WangYifei HuangJie Yang

genomicsepigenomicsepidemiologybiostatisticshigh-risk intestinal metaplasiaepigeneticshealth sciencesdna methylation profiling

A General Equivalence Theorem for Crossover Designs Under Generalized Linear Models. Sankhya B (2023)

Jeevan JankarJie YangAbhyuday Mandal

general equivalence theoremgraph theorycrossover designsapplied mathematics

An R Package Aziad for Analysing Zero-Inflated and Zero-Altered Data. Journal of Statistical Computation and Simulation (2023)

Niloufar Dousti MousaviHani AldirawiJie Yang

zero-altered datadata science

Categorical Data Analysis for High-Dimensional Sparse Gene Expression Data. BioTech (2023)

Niloufar Dousti MousaviHani AldirawiJie Yang

genomicsgene expressionsystems biologybiotechnologycomputational genomicsbiostatisticsdata sciencecategorical data analysisbioinformatics

Constrained D-Optimal Design for Paid Research Study. Statistica Sinica (2023)

mechanism designdesign optimizationdesignresearch policyresearch designoptimal experimental designdesign theorypaid research studyoperations research

Exploring the Transcriptional and Translational Features Using Deep Neural Networks for Mrnas Classification. (2023)

Amira KefiMorris ChukhmanVinayakumar KarinthaSadok BouamamaJie YangChunyu Liu

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Similar Faculty Members

Min Yang

Institution

University of Illinois Chicago

translational research

experiment design

Grzegorz Rempala

Institution

Ohio State University

stochastic process

theoretical biology

Subir Ghosh

Institution

University of California, Riverside

generalized linear

nonlinear models

Sumanta Basu

Institution

Cornell University

complex system

statistical machine learning

Shili Lin

Institution

Ohio State University

biomedical informatics

biomedical data analysis

Florentina Bunea

Institution

Cornell University

mixture modeling

latent space estimation

Dipak Dey

Institution

University of Connecticut

theoretical biology

biological computation

Chris Tsokos

Institution

University of South Florida

reliability analysis

ecological modelling

James Booth

Institution

Cornell University

mathematical biology

statistics

Jing Lei

Institution

Carnegie Mellon University

general systems

digital image processing