The methods in this book are all derived from the notion that modelling multiple vintages simultaneously allows us to understand the key drivers to those vintages and create useful forecasts. This ...

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The Parallel-R1 framework uses reinforcement learning to teach models how to explore multiple reasoning paths at once, ...

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This section provides an overview of a likelihood-based approach to general linear mixed models. This approach simplifies and unifies many common statistical analyses, including those involving ...