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On the benefits of maximum likelihood estimation for Regression and
  Forecasting

On the benefits of maximum likelihood estimation for Regression and Forecasting

18 June 2021
Pranjal Awasthi
Abhimanyu Das
Rajat Sen
A. Suresh
    AI4TS
ArXivPDFHTML

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
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
Unified Training of Universal Time Series Forecasting Transformers
Gerald Woo
Chenghao Liu
Akshat Kumar
Caiming Xiong
Silvio Savarese
Doyen Sahoo
AI4TS
120
165
0
04 Feb 2024
A decoder-only foundation model for time-series forecasting
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
Long-term Forecasting with TiDE: Time-series Dense Encoder
Abhimanyu Das
Weihao Kong
Andrew B. Leach
Shaan Mathur
Rajat Sen
Rose Yu
AI4TS
44
238
0
17 Apr 2023
Neural Spline Search for Quantile Probabilistic Modeling
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
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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