Tick: a Python library for statistical learning, with a particular emphasis on time-dependent modelling

10 July 2017

Papers citing "Tick: a Python library for statistical learning, with a particular emphasis on time-dependent modelling"

5 / 5 papers shown

Title
HoTPP Benchmark: Are We Good at the Long Horizon Events Forecasting? Ivan Karpukhin F. Shipilov Andrey Savchenko AI4TS 81 4 0 20 Jun 2024
Uncovering Causality from Multivariate Hawkes Integrated Cumulants M. Achab Emmanuel Bacry Stéphane Gaïffas I. Mastromatteo Jean-François Muzy 74 91 0 21 Jul 2016
Learning Granger Causality for Hawkes Processes Hongteng Xu Mehrdad Farajtabar H. Zha AI4TS CML 43 226 0 14 Feb 2016
Second order statistics characterization of Hawkes processes and non-parametric estimation Emmanuel Bacry Jean-François Muzy 65 31 0 05 Jan 2014
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization Shai Shalev-Shwartz Tong Zhang 117 1,031 0 10 Sep 2012