[PDF] The Hodrick-prescott Filter: A Special Case of Penalized Spline





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The Hodrick-prescott Filter: A Special Case of Penalized Spline

1 janv. 2010 by saddlepoint approximation and provides a fast and accurate alternative ... Inference for the smoothing parameter.



The Hodrick-Prescott Filter: A special case of penalized spline

by saddlepoint approximation and provides a fast and accurate alternative to exact methods



Ad˜ao Alexandre (Alex) Trindade: Curriculum Vitae Address

1 janv. 2022 “Fast and Accurate Inference for the Smoothing Parameter in Semiparametric Models” Dept. of Math- ematics



KGSSM: Knowledge Gradient for Fast Inference in State-Space

The accuracy and speed of the MFBO-SSM algorithm are demonstrated empirically by applying it to synthetic gene expression data from a gene regulatory network 



scShaper: an ensemble method for fast and accurate linear

9 déc. 2021 The ensemble approach of scShaper generates a continuous smooth ... jectory inference method that enables accurate linear trajectory in-.



Manifold-constrained Gaussian process inference for time-varying

This article proposes a fast and accurate method TVMAGI (Time-Varying MAnifold- parameter inference thanks to the GP smoothing prior that mitigates the ...



Efficient and Accurate Inference of Mixed Microbial Population

24 juin 2020 LUMINATE quickly and accurately infers community ... smooth function. ... model of sequencing noise with dispersion parameter estimated.



Fast Exact Inference with a Factored Model for Natural Language

Fast Exact Inference with a Factored Model for to directly use the MLE parameters without smoothing.1 The best PCFG model



Fast and Accurate Estimation of Non-Nested Binomial Hierarchical

Non-linear hierarchical models are commonly used in many disciplines. However inference in the presence of non-nested effects and on large datasets is 



Inference of dynamic systems from noisy and sparse data via

9 avr. 2021 pose a fast and accurate method manifold-constrained Gaussian process inference (MAGI) ... We show that the resulting parameter inference.

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