[HTML][HTML] Forecast reconciliation: A review
Collections of time series formed via aggregation are prevalent in many fields. These are
commonly referred to as hierarchical time series and may be constructed cross-sectionally …
commonly referred to as hierarchical time series and may be constructed cross-sectionally …
Best practices for differentiated products demand estimation with pyblp
Differentiated products demand systems are a workhorse for understanding the price effects
of mergers, the value of new goods, and the contribution of products to seller networks …
of mergers, the value of new goods, and the contribution of products to seller networks …
Random walks on simplicial complexes and the normalized Hodge 1-Laplacian
Using graphs to model pairwise relationships between entities is a ubiquitous framework for
studying complex systems and data. Simplicial complexes extend this dyadic model of …
studying complex systems and data. Simplicial complexes extend this dyadic model of …
[ספר][B] Parameter estimation and inverse problems
RC Aster, B Borchers, CH Thurber - 2018 - books.google.com
Parameter Estimation and Inverse Problems, Third Edition, is structured around a course at
New Mexico Tech and is designed to be accessible to typical graduate students in the …
New Mexico Tech and is designed to be accessible to typical graduate students in the …
[ספר][B] Numerical methods for least squares problems
Å Björck - 2024 - SIAM
Excerpt More than 25 years have passed since the first edition of this book was published in
1996. Least squares and least-norm problems have become more significant with every …
1996. Least squares and least-norm problems have become more significant with every …
Quantitative susceptibility map**: report from the 2016 reconstruction challenge
Purpose The aim of the 2016 quantitative susceptibility map** (QSM) reconstruction
challenge was to test the ability of various QSM algorithms to recover the underlying …
challenge was to test the ability of various QSM algorithms to recover the underlying …
Graphical-model based estimation and inference for differential privacy
Many privacy mechanisms reveal high-level information about a data distribution through
noisy measurements. It is common to use this information to estimate the answers to new …
noisy measurements. It is common to use this information to estimate the answers to new …
[PDF][PDF] A feasible estimator for linear models with multi-way fixed effects
I propose a feasible and computationally efficient estimator of linear models with multiple
levels of fixed effects. First, I show that solving the two–way fixed effects model is equivalent …
levels of fixed effects. First, I show that solving the two–way fixed effects model is equivalent …
Unfold: an integrated toolbox for overlap correction, non-linear modeling, and regression-based EEG analysis
Electrophysiological research with event-related brain potentials (ERPs) is increasingly
moving from simple, strictly orthogonal stimulation paradigms towards more complex, quasi …
moving from simple, strictly orthogonal stimulation paradigms towards more complex, quasi …
[ספר][B] Least squares data fitting with applications
A lucid explanation of the intricacies of both simple and complex least squares methods. As
one of the classical statistical regression techniques, and often the first to be taught to new …
one of the classical statistical regression techniques, and often the first to be taught to new …