Alois Pichler

Chemnitz University of Technology — Germany

Decision Sciences · Social Sciences

22h-index1.9kcitations154works0.82yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Risk and Portfolio Optimization(56), Stochastic processes and financial applications(28), Probabilistic and Robust Engineering Design(19), Wittgensteinian philosophy and applications(15), Insurance, Mortality, Demography, Risk Management(12)

Publications154 total

Nadaraya–Watson Time Series Early Classification for Gesture Recognition
Advances in Science, Technology & Innovation/Advances in science, technology & innovation·2026Open Access
Models Parametric Analysis via Adaptive Kernel Learning
Studies in systems, decision and control·2026
A Parametric Model to Assess Minnesota Dexterity Test with IMU
Advances in Science, Technology & Innovation/Advances in science, technology & innovation·2026Open Access
Probability of ruin within finite time and Cramér–Lundberg inequality for fractional risk processes
Test·2025Open Access
Tree approximation of scenario processes for multistage stochastic optimization: algorithms and fast implementations
Computational Management Science·2025
Wittgenstein’s 1938 Preface Drafts for the <i>Philosophical Investigations</i> : A Synoptic Edition
2025
StochasticDominance.jl: A Julia Package for Higher Order Stochastic Dominance
The Journal of Open Source Software·2025Open Access
“For If There Is No Resurrection of the Dead, Then Christ Has Not Been Raised Either”: Wittgenstein and the Cognitive Status of Christian Belief Statements
Religions·2025· 6 citedOpen Access
StochasticDominance.jl: A Julia Package for Higher Order Stochastic Dominance
arXiv (Cornell University)·2025Open Access
Higher-Order Stochastic Dominance Constraints in Optimization
arXiv (Cornell University)·2025· 1 citedOpen Access
Models Parametric Analysis via Adaptive Kernel Learning
arXiv (Cornell University)·2025Open Access
Constrained Global Optimization by Smoothing
Lecture notes in computer science·2024· 1 cited
Connection between higher order measures of risk and stochastic dominance
Computational Management Science·2024· 2 citedOpen Access
Unbalanced Optimal Transport and Maximum Mean Discrepancies: Interconnections and Rapid Evaluation
Journal of Scientific Computing·2024· 3 citedOpen Access
On the Approximation of Kernel functions
arXiv (Cornell University)·2024Open Access
Higher order measures of risk and stochastic dominance
arXiv (Cornell University)·2024Open Access
Portfolio reshaping under 1st-order stochastic dominance constraints by the exact penalty function methods
Optimization·2024· 2 citedOpen Access
UNCERTAINTY ANALYSIS FOR EVOLUTION EQUATIONS
International Journal for Uncertainty Quantification·2024Open Access
Mortality in Germany during the COVID-19 Pandemic
International Journal of Environmental Research and Public Health·2023Open Access
Soft Quantization Using Entropic Regularization
Entropy·2023· 3 citedOpen Access
page 1 of 8Next →

Frequent Co-authors

Georg Ch. Pflug(12), Alexander Shapiro(5), Stein‐Erik Fleten(2), Huifu Xu(2), Raimund M. Kovacevic(2), Michael Biggs(2), Erik Haugom(2), Asgeir Tomasgård(2), Rajmadan Lakshmanan(2), David Wozabal(1), Walter J. Gutjahr(1), Martin Posch(1), Karl Sigmund(1), Sara Séguin(1), Pascal Côté(1), Charles Audet(1), Sarah Anna Szeltner(1), Ruud Egging(1), Øyvind Iversen Kalvø(1), Thomas Meyer Walle–Hansen(1)