What are the implications for the geometry of affine space? What is affine density estimation?

The rest of the paper considers models with quadratic payoffs and affine information structure which yield computable Bayesian-Cournot equilibria and. Feb 13, 2016 ... an affine structure model of the state variables. If the matrix of ... informational content of the term spread (actual or fitted) in ... Feb 10, 2018 ... ... data identifying the affine in x matrix- valued functions A(x) and B(x), and let we have an access to a first-order oracle providing us with ... ... affine space which we denote by some capital letter, say A; single measurement outcomes are described by affine maps $\mathcal{M}^{(i)}:A\to which yield ... The modeling strategy in this paper is to consider linear-quadratic payoffs coupled with an affine information structure, which admits common or private values, ... Most commonly, the conditional mean of the response given the values of the explanatory variables (or predictors) is assumed to be an affine function of ... Jan 14, 2025 ... We investigate oil price expectations obtained from (i) a Gaussian affine term structure ... Informational frictions and commodity markets. The. Sep 11, 2008 ... The Informational Content of High-Frequency Option Prices · Diego Amaya,; Jean-François Bégin,; Geneviève Gauthier. 26 April 2021 | Management ... Jan 2, 2006 ... Using information from the. Treasury futures market, we propose a GMM approach for the estimation of the risk-neutral process. A distinguishing ... Error messages, warnings, and informational messages ... HEAD files are actually used. -matvec mmm = Read an affine transformation matrix-vector from file