Results 141 to 150 of about 7,174 (250)

The Mathematical History Behind the Granger–Johansen Representation Theorem

Oxford Bulletin of Economics and Statistics, EarlyView.
ABSTRACT When can a vector time series that is integrated once (i.e., becomes stationary after taking first differences) be described in error correction form? The answer to this is provided by the Granger–Johansen representation theorem. From a mathematical point of view, the theorem can be viewed as essentially a statement concerning the geometry of ...
Johannes M. Schumacher
wiley   +1 more source

Trade and Selection With Heterogeneous Firms and Perfect Competition

Review of International Economics, EarlyView.
ABSTRACT This paper extends the Heckscher–Ohlin–Samuelson framework to allow for heterogeneous firms with capacity constraints. We show that the central theorems of the HOS model (as well as their standard generalizations via duality) carry over to our setting.
Xue Bai, Arpita Chatterjee, Kala Krishna, Hong Ma   +3 more
wiley   +1 more source

Descent methods for nonnegative matrix factorization

, 2011
In this paper, we present several descent methods that can be applied to nonnegative matrix factorization and we analyze a recently developped fast block coordinate method called Rank-one Residue Iteration (RRI).
Blondel, Vincent, Ngoc-Diep Ho, Vincent D. Blondel, Paul Van Dooren, Van Dooren, Paul, Ho, Ngoc Diep   +5 more
core   +1 more source

Markup Centrality and International Incidence in Global Production Networks

Review of International Economics, EarlyView.
ABSTRACT This paper develops a framework to measure how markups amplify prices through global production networks and to attribute final‐demand price wedges to upstream country‐industry sources. The approach defines a compound markup as the ratio of observed prices to counterfactual pure‐cost prices that would prevail if all markups in the network were
Constantin Colonescu
wiley   +1 more source

Molecular classification of hormone-sensitive and castration-resistant prostate cancer, using nonnegative matrix factorization molecular subtyping of primary and metastatic specimens. [PDF]

Prostate, 2022
Yuen KC, Tran B, Anton A, Hamidi H, Costello AJ, Corcoran NM, Lawrentschuk N, Rainey N, Semira MCG, Gibbs P, Mariathasan S, Sandhu S, Kadel EE.   +12 more
europepmc   +1 more source

Spectral Separation of Quantum Dots within Tissue Equivalent Phantom Using Linear Unmixing Methods in Multispectral Fluorescence Reflectance Imaging [PDF]

Introduction Non-invasive Fluorescent Reflectance Imaging (FRI) is used for accessing physiological and molecular processes in biological media. The aim of this article is to separate the overlapping emission spectra of quantum dots within tissue ...
نجف زاده, ابراهیم, احمدیان, علیرضا, حجازی, مرجانه, محمدرضا, هانیه   +3 more
core  

Repelled Point Processes With Application to Numerical Integration

Scandinavian Journal of Statistics, EarlyView.
ABSTRACT We look at Monte Carlo numerical integration from a stochastic geometry point of view. While crude Monte Carlo estimators relate to linear statistics of a homogeneous Poisson point process (PPP), linear statistics of more regularly spread point processes can yield unbiased estimators with faster‐decaying variance, and thus lower integration ...
Diala Hawat, Gabriel Mastrilli, Rémi Bardenet, Raphaël Lachièze‐Rey   +3 more
wiley   +1 more source

Secured Secret Sharing of QR Codes Based on Nonnegative Matrix Factorization and Regularized Super Resolution Convolutional Neural Network. [PDF]

Sensors (Basel), 2022
Velumani R, Sudalaimuthu H, Choudhary G, Bama S, Jose MV, Dragoni N.   +5 more
europepmc   +1 more source

On the additive image of zeroth persistent homology

Transactions of the London Mathematical Society, Volume 13, Issue 1, December 2026.
Abstract For a category X$X$ and a finite field F$F$, we study the additive image of the functor H0(−;F)∗:rep(X,Top)→rep(X,VectF)$\operatorname{H}_0(-;F)_* \colon \operatorname{rep}(X, \mathbf {Top}) \rightarrow \operatorname{rep}(X, \mathbf {Vect}_F)$, or equivalently, of the free functor rep(X,Set)→rep(X,VectF)$\operatorname{rep}(X, \mathbf {Set ...
Ulrich Bauer, Magnus B. Botnan, Steffen Oppermann, Johan Steen   +3 more
wiley   +1 more source

In-memory analog computing for non-negative matrix factorization

Nature Communications
Non-negative matrix factorization (NMF) is a powerful technique for extracting latent structures from high-dimensional data, with applications spanning recommender systems, bioinformatics, and image processing.
Shiqing Wang, Yubiao Luo, Pushen Zuo, Yongxiang Li, Lunshuai Pan, Daniele Ielmini, Zhong Sun   +6 more
doaj   +1 more source