Quantile deep learning models for multi-step ahead time series prediction | Paper Citation Record

Observation b8e0ad99-d553-4bcf-8df7-f74ad83b09e4 · outbound

This paper cites Koenker, G.

Quantile deep learning models for multi-step ahead time series prediction Koenker, G

Reference 1

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This paper cites Waldmann, Quantile regression: A short story on how and why, Sta- tistical Modelling 18 (3-4) (2018) 203–218.

Quantile deep learning models for multi-step ahead time series prediction Waldmann, Quantile regression: A short story on how and why, Sta- tistical Modelling 18 (3-4) (2018) 203–218

Reference 2

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This paper cites Fitzenberger, R.

Quantile deep learning models for multi-step ahead time series prediction Fitzenberger, R

Reference 4

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This paper cites Briollais, G.

Quantile deep learning models for multi-step ahead time series prediction Briollais, G

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This paper cites Buchinsky, Changes in the us wage structure 1963-1987: Applica- tion of quantile regression, Econometrica: Journal of the Econometric Society (1994) 405–458.

Quantile deep learning models for multi-step ahead time series prediction Buchinsky, Changes in the us wage structure 1963-1987: Applica- tion of quantile regression, Econometrica: Journal of the Econometric Society (1994) 405–458

Reference 8

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This paper cites Geladi, B.

Quantile deep learning models for multi-step ahead time series prediction Geladi, B

Reference 11

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This paper cites Vaysse, P.

Quantile deep learning models for multi-step ahead time series prediction Vaysse, P

Reference 12

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This paper cites Dogulu, P.

Quantile deep learning models for multi-step ahead time series prediction Dogulu, P

Reference 13

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Reference 14

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This paper cites Makkonen, Problems in the extreme value analysis, Structural safety 30 (5) (2008) 405–419.

Quantile deep learning models for multi-step ahead time series prediction Makkonen, Problems in the extreme value analysis, Structural safety 30 (5) (2008) 405–419

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Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

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This paper cites Cumperayot, R.

Quantile deep learning models for multi-step ahead time series prediction Cumperayot, R

Reference 22

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This paper cites Velthoen, C.

Quantile deep learning models for multi-step ahead time series prediction Velthoen, C

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This paper cites Ensemble learning for uncertainty estimation with application to the correction of satellite precipitation products.

Quantile deep learning models for multi-step ahead time series prediction Ensemble learning for uncertainty estimation with application to the correction of satellite precipitation products

Reference 32

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This paper cites Tyralis, G.

Quantile deep learning models for multi-step ahead time series prediction Tyralis, G

Reference 33

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This paper cites Zhang, H.

Quantile deep learning models for multi-step ahead time series prediction Zhang, H

Reference 38

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Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

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This paper cites Tang, et al., Neural networks for partially linear quantile regression, Journal of Business & Economic Statistics (2023).

Quantile deep learning models for multi-step ahead time series prediction Tang, et al., Neural networks for partially linear quantile regression, Journal of Business & Economic Statistics (2023)

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Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

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This paper cites Review of deep learning models for crypto price prediction: implementation and evaluation.

Quantile deep learning models for multi-step ahead time series prediction Review of deep learning models for crypto price prediction: implementation and evaluation

Reference 44

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This paper cites Hochreiter, J.

Quantile deep learning models for multi-step ahead time series prediction Hochreiter, J

Reference 45

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This paper cites Alzubaidi, J.

Quantile deep learning models for multi-step ahead time series prediction Alzubaidi, J

Reference 46

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This paper cites Chandra, S.

Quantile deep learning models for multi-step ahead time series prediction Chandra, S

Reference 47

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Observation c1c7c816-cfed-4f41-81b1-712bac7862c9 · outbound

This paper cites Koenker, Quantile regression for longitudinal data, Journal of multi- variate analysis 91 (1) (2004) 74–89.

Quantile deep learning models for multi-step ahead time series prediction Koenker, Quantile regression for longitudinal data, Journal of multi- variate analysis 91 (1) (2004) 74–89

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Observation e0ae0866-e89a-4d63-91d0-a6ff11f4c48c · outbound

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Quantile deep learning models for multi-step ahead time series prediction Cai, Regression quantiles for time series, Econometric theory 18 (1) (2002) 169–192

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Observation 3c01e2e8-14d0-4472-aee6-d9886f13d5e7 · outbound

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Quantile deep learning models for multi-step ahead time series prediction Xiao, Time series quantile regressions, in: Handbook of statistics, V ol

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Observation b808a379-91ea-411f-b6f1-388e945153ba · outbound

This paper cites Koenker, Quantile regression: 40 years on, Annual review of economics 9 (2017) 155–176.

Quantile deep learning models for multi-step ahead time series prediction Koenker, Quantile regression: 40 years on, Annual review of economics 9 (2017) 155–176

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This paper cites Pickands III, Statistical inference using extreme order statistics, The Annals of Statistics (1975) 119–131.

Quantile deep learning models for multi-step ahead time series prediction Pickands III, Statistical inference using extreme order statistics, The Annals of Statistics (1975) 119–131

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Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

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This paper cites Castillo, A.

Quantile deep learning models for multi-step ahead time series prediction Castillo, A

Reference 56

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This paper cites Ferreira, L.

Quantile deep learning models for multi-step ahead time series prediction Ferreira, L

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This paper cites Fr ´echet, Sur la loi de probabilit´e de l’´ecart maximum, Ann.

Quantile deep learning models for multi-step ahead time series prediction Fr ´echet, Sur la loi de probabilit´e de l’´ecart maximum, Ann

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Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

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This paper cites B ¨ucher, C.

Quantile deep learning models for multi-step ahead time series prediction B ¨ucher, C

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Reference 62

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Reference 63

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Reference 64

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Reference 65

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Reference 66

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This paper cites Ensemble quantile-based deep learning framework for streamflow and flood prediction in Australian catchments.

Quantile deep learning models for multi-step ahead time series prediction Ensemble quantile-based deep learning framework for streamflow and flood prediction in Australian catchments

Reference 67

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Quantile deep learning models for multi-step ahead time series prediction Lampinen, A

Reference 68

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This paper cites Kononenko, Bayesian neural networks, Biological Cybernetics 61 (5) (1989) 361–370.

Quantile deep learning models for multi-step ahead time series prediction Kononenko, Bayesian neural networks, Biological Cybernetics 61 (5) (1989) 361–370

Reference 69

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Quantile deep learning models for multi-step ahead time series prediction Chandra, Y

Reference 71

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This paper cites Van Houdt, C.

Quantile deep learning models for multi-step ahead time series prediction Van Houdt, C

Reference 73

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Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

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Quantile deep learning models for multi-step ahead time series prediction Graves, J

Reference 76

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Reference 77

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This paper cites Sutskever, O.

Quantile deep learning models for multi-step ahead time series prediction Sutskever, O

Reference 78

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Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 79

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Quantile deep learning models for multi-step ahead time series prediction Hecht-Nielsen, Theory of the backpropagation neural network, in: Neural Networks for Perception, Academic Press, 1992, pp

Reference 80

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Quantile deep learning models for multi-step ahead time series prediction Hinaut, N

Reference 81

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Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 82

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Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

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Quantile deep learning models for multi-step ahead time series prediction Adam: A Method for Stochastic Optimization

Reference 84

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Quantile deep learning models for multi-step ahead time series prediction Greaves, B

Reference 85

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Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 86

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Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 87

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Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

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Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 89

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Reference 90

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Observation ef74165d-90b1-41d8-a2b8-07cef8297311 · outbound

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Quantile deep learning models for multi-step ahead time series prediction Muthukrishnan, R

Reference 91

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Observation e7fed99a-8d9e-4897-8ffe-2deefa32b641 · outbound

This paper cites Lecture notes on ridge regression.

Quantile deep learning models for multi-step ahead time series prediction Lecture notes on ridge regression

Reference 92

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Quantile deep learning models for multi-step ahead time series prediction Wager, S

Reference 93

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Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 94

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Observation 20f74f79-3b46-4872-be53-a68af548c25e · outbound

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Quantile deep learning models for multi-step ahead time series prediction Sentiment Analysis in the Era of Large Language Models: A Reality Check

Reference 95

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Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 96

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Observation f54b60ca-549f-4fc8-b3ef-26cb721f7e8c · outbound

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Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 97

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Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 98

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Observation 2ee18eac-1c88-435c-b3a7-29e49af9ce8a · outbound

This paper cites Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning.

Quantile deep learning models for multi-step ahead time series prediction Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning

Reference 99

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Quantile deep learning models for multi-step ahead time series prediction Inferring Parameters and Structure of Latent Variable Models by Variational Bayes

Reference 100

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Pith citing papers