Scaling-aware rating of Poisson-limited demand forecasts

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tichy, Malte C., Babounikau, Illia, Wolke, Nikolas, Ulbrich, Stefan, Feindt, Michael
Format:	Preprint
Published:	2022
Subjects:	Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Scaling‐Aware Rating of Poisson‐Limited Demand Forecasts
by: Malte C. Tichy, et al.
Published: (2025)

Automobile demand forecasting: Spatiotemporal and hierarchical modeling, life cycle dynamics, and user-generated online information
by: Nahrendorf, Tom, et al.
Published: (2025)

A novel forecasting framework combining virtual samples and enhanced Transformer models for tourism demand forecasting
by: Diao, Tingting, et al.
Published: (2025)

Human spatial dynamics for electricity demand forecasting: the case of France during the 2022 energy crisis
by: Doumèche, Nathan, et al.
Published: (2023)

On the retraining frequency of global models in retail demand forecasting
by: Zanotti, Marco
Published: (2025)

High-dimensional point forecast combinations for emergency department demand
by: Guo, Peihong, et al.
Published: (2025)

A Dirichlet-Multinomial-Poisson framework for the coherent analysis and forecast of cause-specific mortality
by: Nigri, Andrea, et al.
Published: (2026)

mshw, a forecasting library to predict short-term electricity demand based on multiple seasonal Holt-Winters
by: Trull, Oscar, et al.
Published: (2024)

STAMP: A shot-type-aware areal multilevel Poisson model for league-wide comparison of basketball shot charts
by: Yamada, Kazuhiro, et al.
Published: (2026)

Identifying good forecasters via adaptive cognitive tests
by: Merkle, Edgar C., et al.
Published: (2024)

Neural ARFIMA model for forecasting BRIC exchange rates with long memory
by: Chakraborty, Tanujit, et al.
Published: (2025)

Study and application on the optimal quantile forecast of precipitation in an ensemble forecast system
by: Lianglyu Chen, et al.
Published: (2024)

Spatial clusters for demand and supply of childcare services in Italy
by: Angela, Andreella, et al.
Published: (2024)

evalprob4cast: An R-package for evaluation of ensembles as probabilistic forecasts or event forecasts
by: Bjerregård, Mathias Blicher, et al.
Published: (2025)

Modelling and short-term forecasting of seasonal mortality
by: Leger, Ainhoa-Elena, et al.
Published: (2025)

Calibration of medium-range metocean forecasts for the North Sea
by: Murphy, Conor, et al.
Published: (2025)

Adaptive probabilistic forecasting of French electricity spot prices
by: Dutot, Grégoire, et al.
Published: (2024)

Bayesian forecasting of electoral outcomes with new parties' competition
by: Montalvo, José García, et al.
Published: (2016)

Enhancing the statistical evaluation of earthquake forecasts -- An application to Italy
by: Brehmer, Jonas R., et al.
Published: (2024)

Evaluating infectious disease forecasts with allocation scoring rules
by: Gerding, Aaron, et al.
Published: (2023)

XGBoost meets INLA: a two-stage spatio-temporal forecasting of wildfires in Portugal
by: Hu, Chenglei, et al.
Published: (2025)

On non-negative auto-correlated integer demand processes
by: van Hezewijk, Lotte, et al.
Published: (2023)

On the robustness of Mann-Kendall tests used to forecast critical transitions
by: Gamot, Tristan, et al.
Published: (2026)

AI and physics-based weather forecasting: A comparative study
by: Kocsis, Mátyás, et al.
Published: (2026)

Expectile regression averaging method for probabilistic forecasting of electricity prices
by: Janczura, Joanna
Published: (2024)

Seamless short- to mid-term probabilistic wind power forecasting
by: Dantas, Gabriel, et al.
Published: (2025)

Climate data selection for multi-decadal wind power forecasts
by: Morelli, Sofia, et al.
Published: (2024)

A note on goodness of fit testing for the Poisson distribution
by: Khurodze, Erekle, et al.
Published: (2025)

Evacuation destination choices during Hurricane Ian: A direct demand modeling approach
by: Recalde, Alessandra, et al.
Published: (2026)

Analyzing the retraining frequency of global forecasting models: towards more stable forecasting systems
by: Zanotti, Marco
Published: (2025)

Improving blended probability forecasts with neural networks
by: Belinda Trotta
Published: (2024)

Index insurance under demand and solvency constraints
by: Lopez, Olivier, et al.
Published: (2025)

Robust optimal reconciliation for hierarchical time series forecasting with M-estimation
by: Wang, Zhichao, et al.
Published: (2026)

A barycenter-based approach for the multi-model ensembling of subseasonal forecasts
by: Coz, Camille Le, et al.
Published: (2023)

Compositional data analysis for modelling and forecasting mortality using the α-transformation
by: Lim, Han Ying, et al.
Published: (2025)

Regularization for electricity price forecasting
by: Uniejewski, Bartosz
Published: (2024)

Match predictions in soccer: Machine learning vs. Poisson approaches
by: Fischer, Mirko, et al.
Published: (2024)

Graph Neural Poisson Models for Supply Chain Relationship Forecasting
by: Xiang, Ling, et al.
Published: (2025)

Statistical post-processing of operational dual-resolution wind-speed ensemble forecasts
by: Baran, Sándor, et al.
Published: (2025)

A market-calibrated accelerated failure time model for in-play football forecasting
by: Clegg, Lawrence, et al.
Published: (2026)