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On the benefits of maximum likelihood estimation for Regression and Forecasting
18 June 2021
Pranjal Awasthi
Abhimanyu Das
Rajat Sen
A. Suresh
AI4TS
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Papers citing
"On the benefits of maximum likelihood estimation for Regression and Forecasting"
6 / 6 papers shown
Title
Estimating Unknown Population Sizes Using the Hypergeometric Distribution
Liam Hodgson
Danilo Bzdok
28
0
0
22 Feb 2024
Unified Training of Universal Time Series Forecasting Transformers
Gerald Woo
Chenghao Liu
Akshat Kumar
Caiming Xiong
Silvio Savarese
Doyen Sahoo
AI4TS
117
165
0
04 Feb 2024
A decoder-only foundation model for time-series forecasting
Abhimanyu Das
Weihao Kong
Rajat Sen
Yichen Zhou
AI4TS
AI4CE
19
188
0
14 Oct 2023
Long-term Forecasting with TiDE: Time-series Dense Encoder
Abhimanyu Das
Weihao Kong
Andrew B. Leach
Shaan Mathur
Rajat Sen
Rose Yu
AI4TS
41
238
0
17 Apr 2023
Neural Spline Search for Quantile Probabilistic Modeling
Ruoxi Sun
Chun-Liang Li
Sercan Ö. Arik
Michael W. Dusenberry
Chen-Yu Lee
Tomas Pfister
AI4TS
42
5
0
12 Jan 2023
Dirichlet Proportions Model for Hierarchically Coherent Probabilistic Forecasting
Abhimanyu Das
Weihao Kong
Biswajit Paria
Rajat Sen
AI4TS
29
6
0
21 Apr 2022
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