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Tick: a Python library for statistical learning, with a particular
  emphasis on time-dependent modelling
v1v2 (latest)

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

10 July 2017
Emmanuel Bacry
Martin Bompaire
Stéphane Gaïffas
Søren Poulsen
ArXiv (abs)PDFHTMLGithub (508★)

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

15 / 15 papers shown
Title
HoTPP Benchmark: Are We Good at the Long Horizon Events Forecasting?
HoTPP Benchmark: Are We Good at the Long Horizon Events Forecasting?
Ivan Karpukhin
F. Shipilov
Andrey Savchenko
AI4TS
97
5
0
20 Jun 2024
Differentially Private Estimation of Hawkes Process
Differentially Private Estimation of Hawkes Process
Simiao Zuo
Tianyi Liu
Tuo Zhao
H. Zha
56
1
0
15 Sep 2022
Online Learning for Mixture of Multivariate Hawkes Processes
Online Learning for Mixture of Multivariate Hawkes Processes
Mohsen Ghassemi
Niccolò Dalmasso
Simran Lamba
Vamsi K. Potluru
Sameena Shah
T. Balch
Manuela Veloso
36
3
0
16 Aug 2022
Differentially Private Learning of Hawkes Processes
Differentially Private Learning of Hawkes Processes
Mohsen Ghassemi
Eleonora Kreavcić
Niccolò Dalmasso
Vamsi K. Potluru
T. Balch
Manuela Veloso
111
1
0
27 Jul 2022
Benchopt: Reproducible, efficient and collaborative optimization
  benchmarks
Benchopt: Reproducible, efficient and collaborative optimization benchmarks
Thomas Moreau
Mathurin Massias
Alexandre Gramfort
Pierre Ablin
Pierre-Antoine Bannier Benjamin Charlier
...
Binh Duc Nguyen
A. Rakotomamonjy
Zaccharie Ramzi
Joseph Salmon
Samuel Vaiter
124
36
0
27 Jun 2022
Exponential Kernels with Latency in Hawkes Processes: Applications in
  Finance
Exponential Kernels with Latency in Hawkes Processes: Applications in Finance
M. Carreira
34
3
0
16 Jan 2021
Fast and Flexible Temporal Point Processes with Triangular Maps
Fast and Flexible Temporal Point Processes with Triangular Maps
Oleksandr Shchur
Nicholas Gao
Marin Bilovs
Stephan Günnemann
115
35
0
22 Jun 2020
Hawkes Process Multi-armed Bandits for Disaster Search and Rescue
Hawkes Process Multi-armed Bandits for Disaster Search and Rescue
Wen-Hao Chiang
G. Mohler
24
1
0
03 Apr 2020
Learning Multivariate Hawkes Processes at Scale
Learning Multivariate Hawkes Processes at Scale
Maximilian Nickel
Matt Le
81
17
0
28 Feb 2020
CAUSE: Learning Granger Causality from Event Sequences using Attribution
  Methods
CAUSE: Learning Granger Causality from Event Sequences using Attribution Methods
W. Zhang
Thomas Kobber Panum
S. Jha
P. Chalasani
David Page
CMLAI4TS
67
49
0
18 Feb 2020
Efficient Non-parametric Bayesian Hawkes Processes
Efficient Non-parametric Bayesian Hawkes Processes
Rui Zhang
Christian J. Walder
Marian-Andrei Rizoiu
Lexing Xie
74
38
0
08 Oct 2018
Binacox: automatic cut-point detection in high-dimensional Cox model
  with applications in genetics
Binacox: automatic cut-point detection in high-dimensional Cox model with applications in genetics
Simon Bussy
Mokhtar Z. Alaya
A. Jannot
Agathe Guilloux
36
0
0
25 Jul 2018
Scalable Bayesian Learning for State Space Models using Variational
  Inference with SMC Samplers
Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers
Marcel Hirt
P. Dellaportas
BDL
74
10
0
23 May 2018
ConvSCCS: convolutional self-controlled case series model for lagged
  adverse event detection
ConvSCCS: convolutional self-controlled case series model for lagged adverse event detection
Maryan Morel
Emmanuel Bacry
Stéphane Gaïffas
Agathe Guilloux
F. Leroy
52
14
0
21 Dec 2017
Binarsity: a penalization for one-hot encoded features in linear
  supervised learning
Binarsity: a penalization for one-hot encoded features in linear supervised learning
Mokhtar Z. Alaya
Simon Bussy
Stéphane Gaïffas
Agathe Guilloux
104
31
0
24 Mar 2017
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