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A Statistics and Deep Learning Hybrid Method for Multivariate Time
  Series Forecasting and Mortality Modeling

A Statistics and Deep Learning Hybrid Method for Multivariate Time Series Forecasting and Mortality Modeling

16 December 2021
Thabang Mathonsi
Terence L van Zyl
    AI4TS
ArXivPDFHTML

Papers citing "A Statistics and Deep Learning Hybrid Method for Multivariate Time Series Forecasting and Mortality Modeling"

4 / 4 papers shown
Title
Towards a methodology for addressing missingness in datasets, with an
  application to demographic health datasets
Towards a methodology for addressing missingness in datasets, with an application to demographic health datasets
Gift Khangamwa
Terence L van Zyl
Clint J. van Alten
15
0
0
05 Nov 2022
Evaluating State of the Art, Forecasting Ensembles- and Meta-learning
  Strategies for Model Fusion
Evaluating State of the Art, Forecasting Ensembles- and Meta-learning Strategies for Model Fusion
Pieter Cawood
Terence L van Zyl
AI4TS
11
12
0
07 Mar 2022
Statistics and Deep Learning-based Hybrid Model for Interpretable
  Anomaly Detection
Statistics and Deep Learning-based Hybrid Model for Interpretable Anomaly Detection
Thabang Mathonsi
Terence L van Zyl
32
0
0
25 Feb 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
1