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Probabilistic Hierarchical Forecasting with Deep Poisson Mixtures

Probabilistic Hierarchical Forecasting with Deep Poisson Mixtures

25 October 2021
Kin G. Olivares
N. Meetei
Ruijun Ma
Rohan Reddy
Mengfei Cao
Lee Dicker
    AI4TS
ArXivPDFHTML

Papers citing "Probabilistic Hierarchical Forecasting with Deep Poisson Mixtures"

11 / 11 papers shown
Title
Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation
Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation
Charupriya Sharma
Iñaki Estella Aguerri
Daniel Guimarans
AI4TS
17
0
0
06 May 2025
DeepHGNN: Study of Graph Neural Network based Forecasting Methods for
  Hierarchically Related Multivariate Time Series
DeepHGNN: Study of Graph Neural Network based Forecasting Methods for Hierarchically Related Multivariate Time Series
Abishek Sriramulu
Nicolas Fourrier
Christoph Bergmeir
AI4TS
22
0
0
29 May 2024
Scalable Probabilistic Forecasting in Retail with Gradient Boosted
  Trees: A Practitioner's Approach
Scalable Probabilistic Forecasting in Retail with Gradient Boosted Trees: A Practitioner's Approach
Xueying Long
Quang Bui
G. Oktavian
Daniel F. Schmidt
Christoph Bergmeir
Rakshitha Godahewa
Seong Per Lee
Kaifeng Zhao
Paul Condylis
16
0
0
02 Nov 2023
TimeGPT-1
TimeGPT-1
Azul Garza
Cristian Challu
Max Mergenthaler-Canseco
AI4TS
14
97
0
05 Oct 2023
HiPerformer: Hierarchically Permutation-Equivariant Transformer for Time
  Series Forecasting
HiPerformer: Hierarchically Permutation-Equivariant Transformer for Time Series Forecasting
Ryo Umagami
Yusuke Ono
Yusuke Mukuta
Tatsuya Harada
AI4TS
24
3
0
14 May 2023
Hierarchically Coherent Multivariate Mixture Networks
Hierarchically Coherent Multivariate Mixture Networks
Kin G. Olivares
Dave Luo
Cristian Challu
Stefania La Vattiata
Max Mergenthaler-Canseco
A. Dubrawski
BDL
AI4TS
16
0
0
11 May 2023
Temporal Saliency Detection Towards Explainable Transformer-based
  Timeseries Forecasting
Temporal Saliency Detection Towards Explainable Transformer-based Timeseries Forecasting
Nghia Duong-Trung
Kiran Madhusudhanan
Danh Le-Phuoc
AI4TS
19
2
0
15 Dec 2022
MQRetNN: Multi-Horizon Time Series Forecasting with Retrieval
  Augmentation
MQRetNN: Multi-Horizon Time Series Forecasting with Retrieval Augmentation
Sitan Yang
Carson Eisenach
Dhruv Madeka
AI4TS
9
7
0
21 Jul 2022
Dirichlet Proportions Model for Hierarchically Coherent Probabilistic
  Forecasting
Dirichlet Proportions Model for Hierarchically Coherent Probabilistic Forecasting
Abhimanyu Das
Weihao Kong
Biswajit Paria
Rajat Sen
AI4TS
11
6
0
21 Apr 2022
N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting
N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting
Cristian Challu
Kin G. Olivares
Boris N. Oreshkin
Federico Garza
Max Mergenthaler-Canseco
A. Dubrawski
AI4TS
10
260
0
30 Jan 2022
Approximate Bayesian Inference in Linear State Space Models for
  Intermittent Demand Forecasting at Scale
Approximate Bayesian Inference in Linear State Space Models for Intermittent Demand Forecasting at Scale
Matthias Seeger
Syama Sundar Rangapuram
Bernie Wang
David Salinas
Jan Gasthaus
Tim Januschowski
Valentin Flunkert
BDL
32
17
0
22 Sep 2017
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