paullabonne Goto Github PK
Name: Paul Labonne
Type: User
Bio: Postdoc at BI Norwegian Business School
Name: Paul Labonne
Type: User
Bio: Postdoc at BI Norwegian Business School
An R package for detecting and exploring multimodality using Bayesian methods
Replication code for "Bayesian mode inference for discrete distributions in economics and finance" by Jamie L. Cross, Lennart Hoogerheide, Paul Labonne and Herman K. van Dijk; https://doi.org/10.1016/j.econlet.2024.111579
Factor-Based Imputation for Missing Data
Replication code for Labonne, P. (2024). “Asymmetric Uncertainty: Nowcasting using skewness in real-time data.” International Journal of Forecasting https://doi.org/10.1016/j.ijforecast.2024.05.003
A (nearly) no-CSS, fast, minimalist Jekyll theme.
R code for creating dataframes from the economic calendar of Forex Factory
JAX implementation of Labonne P. (2024). “Asymmetric uncertainty: Nowcasting using skewness in real-time data”. International Journal of Forecasting https://doi.org/10.1016/j.ijforecast.2024.05.003
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.