Adaptation and Self-Organizing Systems · Physics
Arbitrary-order finite-time corrections for the Kramers-Moyal operator
Leonardo Rydin Gorjão, Dirk Witthaut, Klaus Lehnertz, Pedro G. Lind
2021-04-28
Data Analysis, Statistics and Probability · Physics
Extended Kramers-Moyal analysis applied to optical trapping
Christoph Honisch, Rudolf Friedrich, Florian Hörner, Cornelia Denz
2012-08-06
Statistical Mechanics · Physics
Data-Driven Reconstruction of Stochastic Dynamical Equations based on Statistical Moments
Farnik Nikakhtar, Laya Parkavousi, Muhammad Sahimi, M. Reza Rahimi Tabar +2
2023-08-04
Adaptation and Self-Organizing Systems · Physics
Analysis and data-driven reconstruction of bivariate jump-diffusion processes
Leonardo Rydin Gorjão, Jan Heysel, Klaus Lehnertz, M. Reza Rahimi Tabar
2019-12-25
Data Analysis, Statistics and Probability · Physics
Modeling and analysis of cyclic inhomogeneous Markov processes: a wind turbine case study
Teresa Scholz, Vitor V. Lopes, Pedro Lind, Frank Raischel
2014-06-16
Atmospheric and Oceanic Physics · Physics
PARMESAN: Meteorological Timeseries and Turbulence Analysis Backed by Symbolic Mathematics
Yann Georg Büchau, Hasan Mashni, Matteo Bramati, Vasileios Savvakis +5
2023-09-27
Neurons and Cognition · Quantitative Biology
MR. Estimator, a toolbox to determine intrinsic timescales from subsampled spiking activity
F. P. Spitzner, J. Dehning, J. Wilting, A. Hagemann +3
2021-05-11
Chemical Physics · Physics
VAMPyR -- A High-Level Python Library for Mathematical Operations in a Multiwavelets Representation
Magnar Bjørgve, Christian Tantardini, Stig Rune Jensen, Gabriel A. Gerez S. +4
2024-05-03
Statistics Theory · Mathematics
Non-parametric estimation of conditional quantiles for time series with heavy tails
Deemat C Mathew, Hareesh G, Sudheesh, K Kattumannil
2024-07-23
Computational Physics · Physics
dlmontepython: A Python library for automation and analysis of Monte Carlo molecular simulations
T. L. Underwood, J. A. Purton, J. R. H. Manning, A. V. Brukhno +4
2021-04-09
Instrumentation and Methods for Astrophysics · Physics
pocoMC: A Python package for accelerated Bayesian inference in astronomy and cosmology
Minas Karamanis, David Nabergoj, Florian Beutler, John A. Peacock +1
2022-07-13
Machine Learning · Statistics
Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes
Cristopher Salvi, Maud Lemercier, Chong Liu, Blanka Hovarth +2
2021-11-05