Kay Giesecke

Kay Giesecke

Stanford University

H-index: 39

North America-United States

About Kay Giesecke

Kay Giesecke, With an exceptional h-index of 39 and a recent h-index of 23 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Financial Technology, Machine Learning, Statistics, Monte Carlo Simulation, Stochastic Modeling.

His recent articles reflect a diverse array of research interests and contributions to the field:

Advances in blockchain and crypto economics

Introduction to the special section on data-driven prescriptive analytics

Computationally Efficient Feature Significance and Importance for Predictive Models

Unbiased Simulation Estimators for Multivariate Jump-Diffusions

Deep learning for mortgage risk

Call for Papers—Management Science Special Issue on Blockchains and Crypto Economics

Explainable clustering and application to wealth management compliance

Significance tests for neural networks

Kay Giesecke Information

University

Position

Professor of Management Science and Engineering

Citations(all)

6238

Citations(since 2020)

1959

Cited By

5010

hIndex(all)

39

hIndex(since 2020)

23

i10Index(all)

57

i10Index(since 2020)

38

Email

University Profile Page

Stanford University

Google Scholar

View Google Scholar Profile

Kay Giesecke Skills & Research Interests

Financial Technology

Machine Learning

Statistics

Monte Carlo Simulation

Stochastic Modeling

Top articles of Kay Giesecke

Title

Journal

Author(s)

Publication Date

Advances in blockchain and crypto economics

Management Science

Bruno Biais

Agostino Capponi

Lin William Cong

Vishal Gaur

Kay Giesecke

2023/11

Introduction to the special section on data-driven prescriptive analytics

Management Science

Kay Giesecke

Gui Liberali

Hamid Nazerzadeh

J George Shanthikumar

Chung Piaw Teo

2022/3

Computationally Efficient Feature Significance and Importance for Predictive Models

Enguerrand Horel

Kay Giesecke

2022/11/2

Unbiased Simulation Estimators for Multivariate Jump-Diffusions

arXiv preprint arXiv:2111.01846

Guanting Chen

Alex Shkolnik

Kay Giesecke

2021/11/2

Deep learning for mortgage risk

Journal of Financial Econometrics

Apaar Sadhwani

Kay Giesecke

Justin Sirignano

2021/6/1

Call for Papers—Management Science Special Issue on Blockchains and Crypto Economics

Management Science

Bruno Biais

Agostino Capponi

Lin William Cong

Vishal Gaur

Kay Giesecke

2021/1

Explainable clustering and application to wealth management compliance

Enguerrand Horel

Kay Giesecke

Victor Storchan

Naren Chittar

2020/10/15

Significance tests for neural networks

Journal of Machine Learning Research

Enguerrand Horel

Kay Giesecke

2020

Inference for large financial systems

Mathematical Finance

Kay Giesecke

Gustavo Schwenkler

Justin A Sirignano

2020/1

Unbiased simulation estimators for path integrals of diffusions

Guanting Chen

Alex Shkolnik

Kay Giesecke

2020/12/14

See List of Professors in Kay Giesecke University(Stanford University)

Co-Authors

H-index: 60
Francis Longstaff

Francis Longstaff

University of California, Los Angeles

H-index: 47
Thorsten Schmidt

Thorsten Schmidt

Technische Universität Chemnitz

H-index: 35
Jiang Wang

Jiang Wang

Massachusetts Institute of Technology

H-index: 29
Ilya A Strebulaev

Ilya A Strebulaev

Stanford University

H-index: 28
Stephen Schaefer

Stephen Schaefer

London Business School

H-index: 27
Lisa Goldberg

Lisa Goldberg

University of California, Berkeley

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