Ostap Okhrin

Ostap Okhrin

Technische Universität Dresden

H-index: 20

Europe-Germany

About Ostap Okhrin

Ostap Okhrin, With an exceptional h-index of 20 and a recent h-index of 16 (since 2020), a distinguished researcher at Technische Universität Dresden, specializes in the field of Copula, computational statistics.

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

Flight delay propagation inference in air transport networks using the multilayer perceptron

Towards Autonomous Driving with Small-Scale Cars: A Survey of Recent Development

Self-organized arrival system for urban air mobility

Artificial Neural Network Small-Sample-Bias-Corrections of the AR (1) Parameter Close to Unit Root

Towards robust car-following based on deep reinforcement learning

Penalized estimation of hierarchical Archimedean copula

Enhanced method for reinforcement learning based dynamic obstacle avoidance by assessment of collision risk

Robust path following on rivers using bootstrapped reinforcement learning

Ostap Okhrin Information

University

Position

___

Citations(all)

1337

Citations(since 2020)

681

Cited By

877

hIndex(all)

20

hIndex(since 2020)

16

i10Index(all)

35

i10Index(since 2020)

25

Email

University Profile Page

Technische Universität Dresden

Google Scholar

View Google Scholar Profile

Ostap Okhrin Skills & Research Interests

Copula

computational statistics

Top articles of Ostap Okhrin

Title

Journal

Author(s)

Publication Date

Flight delay propagation inference in air transport networks using the multilayer perceptron

Journal of Air Transport Management

Gong Chen

Hartmut Fricke

Ostap Okhrin

Judith Rosenow

2024/1/1

Towards Autonomous Driving with Small-Scale Cars: A Survey of Recent Development

arXiv preprint arXiv:2404.06229

Dianzhao Li

Paul Auerbach

Ostap Okhrin

2024/4/9

Self-organized arrival system for urban air mobility

arXiv preprint arXiv:2404.03710

Martin Waltz

Ostap Okhrin

Michael Schultz

2024/4/4

Artificial Neural Network Small-Sample-Bias-Corrections of the AR (1) Parameter Close to Unit Root

Available at SSRN 4748631

Haozhe Jiang

Ostap Okhrin

Michael Rockinger

2024/3/1

Towards robust car-following based on deep reinforcement learning

Transportation research part C: emerging technologies

Fabian Hart

Ostap Okhrin

Martin Treiber

2024/2/1

Penalized estimation of hierarchical Archimedean copula

Journal of Multivariate Analysis

Ostap Okhrin

Alexander Ristig

2024/5/1

Enhanced method for reinforcement learning based dynamic obstacle avoidance by assessment of collision risk

Neurocomputing

Fabian Hart

Ostap Okhrin

2024/2/1

Robust path following on rivers using bootstrapped reinforcement learning

Ocean Engineering

Niklas Paulig

Ostap Okhrin

2024/4/15

Semiparametric estimation of the high-dimensional elliptical distribution

Journal of Multivariate Analysis

Eckhard Liebscher

Ostap Okhrin

2023/5/1

Vision-Based DRL Autonomous Driving Agent with Sim2Real Transfer

Dianzhao Li

Ostap Okhrin

2023/9/24

A platform-agnostic deep reinforcement learning framework for effective sim2real transfer in autonomous driving

arXiv preprint arXiv:2304.08235

Dianzhao Li

Ostap Okhrin

2023/4/14

Distributional properties of continuous time processes: from CIR to bates

AStA Advances in Statistical Analysis

Ostap Okhrin

Michael Rockinger

Manuel Schmid

2023/9

Maximum-likelihood estimation using the zig-zag algorithm

Journal of Financial Econometrics

Nikolaus Hautsch

Ostap Okhrin

Alexander Ristig

2023/12/1

Adaptive local VAR for dynamic economic policy uncertainty spillover

arXiv preprint arXiv:2302.02808

Niels Gillmann

Ostap Okhrin

2023/2/6

Spatial–temporal recurrent reinforcement learning for autonomous ships

Neural Networks

Martin Waltz

Ostap Okhrin

2023/8/1

Two-step dynamic obstacle avoidance

arXiv preprint arXiv:2311.16841

Fabian Hart

Martin Waltz

Ostap Okhrin

2023/11/28

Modified DDPG car-following model with a real-world human driving experience with CARLA simulator

Transportation Research Part C: Emerging Technologies

Dianzhao Li

Ostap Okhrin

2023/2/1

2-Level Reinforcement Learning for Ships on Inland Waterways

arXiv preprint arXiv:2307.16769

Martin Waltz

Niklas Paulig

Ostap Okhrin

2023/7/25

Plant growth stages and weather index insurance design

Annals of Actuarial Science

Jing Zou

Martin Odening

Ostap Okhrin

2023/11

ENHANCED CAR-FOLLOWING IN HETEROGENEOUS AND NON-LANE BASED TRAFFIC WITH LEADER-FOLLOWER IDENTIFICATION

GLOBALIZATION OF SCIENTIFIC AND EDUCATIONAL SPACE. INNOVATIONS OF TRANSPORT. PROBLEMS, EXPERIENCE, PROSPECTS

Mihir Kulkarni

Ankit Anil Chaudhari

Karthik K Srinivasan

Bhargava Rama Chilukuri

Ostap Okhrin

...

2023/6/20

See List of Professors in Ostap Okhrin University(Technische Universität Dresden)

Co-Authors

H-index: 88
Wolfgang Karl Härdle

Wolfgang Karl Härdle

Humboldt-Universität zu Berlin

H-index: 59
Peter Xuekun Song

Peter Xuekun Song

University of Michigan

H-index: 42
Fabrizio Durante

Fabrizio Durante

Università del Salento

H-index: 35
Nikolaus Hautsch

Nikolaus Hautsch

Universität Wien

H-index: 31
Odening, Martin

Odening, Martin

Humboldt-Universität zu Berlin

academic-engine