Philipp Otto

Philipp Otto

Leibniz Universität Hannover

H-index: 9

Europe-Germany

About Philipp Otto

Philipp Otto, With an exceptional h-index of 9 and a recent h-index of 8 (since 2020), a distinguished researcher at Leibniz Universität Hannover, specializes in the field of Spatiotemporal statistics, environmetrics, computational statistics, network modelling, spatial data.

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

A review of regularised estimation methods and cross-validation in spatiotemporal statistics

Network log-ARCH models for forecasting stock market volatility

Analyzing urban crash incidents: An advanced endogenous approach using spatiotemporal weights matrix

Statistical process monitoring of artificial neural networks

A multivariate spatial and spatiotemporal arch model

Spatial GARCH models for unknown spatial locations–an application to financial stock returns

Spatiotemporal modelling of concentrations in Lombardy (Italy): a comparative study

Correction: Adaptive LASSO estimation for functional hidden dynamic geostatistical models

Philipp Otto Information

University

Leibniz Universität Hannover

Position

___

Citations(all)

257

Citations(since 2020)

229

Cited By

68

hIndex(all)

9

hIndex(since 2020)

8

i10Index(all)

9

i10Index(since 2020)

6

Email

University Profile Page

Leibniz Universität Hannover

Philipp Otto Skills & Research Interests

Spatiotemporal statistics

environmetrics

computational statistics

network modelling

spatial data

Top articles of Philipp Otto

Title

Journal

Author(s)

Publication Date

A review of regularised estimation methods and cross-validation in spatiotemporal statistics

Philipp Otto

Alessandro Fassò

Paolo Maranzano

2024/1/31

Network log-ARCH models for forecasting stock market volatility

International Journal of Forecasting

Raffaele Mattera

Philipp Otto

2024/1/25

Analyzing urban crash incidents: An advanced endogenous approach using spatiotemporal weights matrix

Transactions in GIS

Reza Mohammadi

Mohammad Taleai

Philipp Otto

Monika Sester

2024/1/24

Statistical process monitoring of artificial neural networks

Technometrics

Anna Malinovskaya

Pavlo Mozharovskyi

Philipp Otto

2024/1/2

A multivariate spatial and spatiotemporal arch model

Spatial Statistics

Philipp Otto

2024/4/2

Spatial GARCH models for unknown spatial locations–an application to financial stock returns

Spatial Economic Analysis

Markus J Fülle

Philipp Otto

2024/1/2

Spatiotemporal modelling of concentrations in Lombardy (Italy): a comparative study

Environmental and Ecological Statistics

Philipp Otto

Alessandro Fusta Moro

Jacopo Rodeschini

Qendrim Shaboviq

Rosaria Ignaccolo

...

2024/2/1

Correction: Adaptive LASSO estimation for functional hidden dynamic geostatistical models

Stochastic Environmental Research and Risk Assessment

Paolo Maranzano

Philipp Otto

Alessandro Fassò

2023/9

Statistical monitoring of European cross-border physical electricity flows using novel temporal edge network processes

arXiv preprint arXiv:2312.16357

Anna Malinovskaya

Rebecca Killick

Kathryn Leeming

Philipp Otto

2023/12/26

Solar Self-Sufficient Households as a Driving Factor for Sustainability Transformation

Sustainability

Franz Harke

Philipp Otto

2023/2/2

Dynamic spatiotemporal ARCH models

Spatial economic analysis

Philipp Otto

Osman Doğan

Süleyman Taşpınar

2023/10/20

Adaptive LASSO estimation for functional hidden dynamic geostatistical models

Stochastic Environmental Research and Risk Assessment

Paolo Maranzano

Philipp Otto

Alessandro Fassò

2023/9

Dynamic Spatiotemporal ARCH Models: Small and Large Sample Results

arXiv preprint arXiv:2312.05898

Philipp Otto

Osman Doğan

Süleyman Taşpınar

2023/12/10

A Markov-switching spatio-temporal ARCH model

arXiv preprint arXiv:2310.02630

Tzung Hsuen Khoo

Dharini Pathmanathan

Philipp Otto

Sophie Dabo-Niang

2023/10/4

Spatial and Spatiotemporal Volatility Models: A Review

Philipp Otto

Osman Doğan

Süleyman Taşpınar

Wolfgang Schmid

Anil K Bera

2023/8/24

A dynamic spatiotemporal stochastic volatility model with an application to environmental risks

Econometrics and Statistics

Philipp Otto

Osman Doğan

Süleyman Taşpınar

2023/11/8

AGRIMONIA: Open Access dataset correlating livestock and air quality in the Lombardy region, Italy

Alessandro Fasso

Jacopo Rodeschini

Alessandro Fusta Moro

Qendrim Shaboviq

Paolo Maranzano

...

2023/5/31

A general framework for spatial GARCH models

Statistical papers

Philipp Otto

Wolfgang Schmid

2023/10

Estimation of the spatial weighting matrix for spatiotemporal data under the presence of structural breaks

Journal of Computational and Graphical Statistics

Philipp Otto

Rick Steinert

2023/4/3

Spatial autoregressive fractionally integrated moving average model

arXiv preprint arXiv:2309.06880

Philipp Otto

Philipp Sibbertsen

2023/9/13

See List of Professors in Philipp Otto University(Leibniz Universität Hannover)

Philipp Otto FAQs

What is Philipp Otto's h-index at Leibniz Universität Hannover?

The h-index of Philipp Otto has been 8 since 2020 and 9 in total.

What are Philipp Otto's top articles?

The articles with the titles of

A review of regularised estimation methods and cross-validation in spatiotemporal statistics

Network log-ARCH models for forecasting stock market volatility

Analyzing urban crash incidents: An advanced endogenous approach using spatiotemporal weights matrix

Statistical process monitoring of artificial neural networks

A multivariate spatial and spatiotemporal arch model

Spatial GARCH models for unknown spatial locations–an application to financial stock returns

Spatiotemporal modelling of concentrations in Lombardy (Italy): a comparative study

Correction: Adaptive LASSO estimation for functional hidden dynamic geostatistical models

...

are the top articles of Philipp Otto at Leibniz Universität Hannover.

What are Philipp Otto's research interests?

The research interests of Philipp Otto are: Spatiotemporal statistics, environmetrics, computational statistics, network modelling, spatial data

What is Philipp Otto's total number of citations?

Philipp Otto has 257 citations in total.

What are the co-authors of Philipp Otto?

The co-authors of Philipp Otto are Marlin W. Ulmer, Michela Cameletti, Alessandro Fassò, Dr. Philipp Klahn, Hamza Alkhatib, Francesco Finazzi.

Co-Authors

H-index: 27
Marlin W. Ulmer

Marlin W. Ulmer

Technische Universität Braunschweig

H-index: 19
Michela Cameletti

Michela Cameletti

Università degli Studi di Bergamo

H-index: 19
Alessandro Fassò

Alessandro Fassò

Università degli Studi di Bergamo

H-index: 17
Dr. Philipp Klahn

Dr. Philipp Klahn

Technische Universität Braunschweig

H-index: 15
Hamza Alkhatib

Hamza Alkhatib

Leibniz Universität Hannover

H-index: 15
Francesco Finazzi

Francesco Finazzi

Università degli Studi di Bergamo

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