Results 91 to 100 of about 7,757,311 (314)

Cross-Sectional Analysis of Household Food Demand in Estuaire Gabon: A Near-Ideal Quadratic Demand System Approach

open access: yesAgriculture
Gabon depends heavily on food imports to safeguard its food security; yet household food consumption patterns remain underexplored. This study investigates the structure of food demand in the Estuaire region, incorporating demographic determinants such ...
Charlene Ignanga   +4 more
doaj   +1 more source

DOES SIZE MATTER?: Technical Efficiency and Industry Size in Indonesia

open access: yesGadjah Mada International Journal of Business, 2013
The debate over which size industry is best suited for Indonesia continues with proponents of both large and small sizes pointing out the benefits of each.
Richard V. Richard V. Llewelyn   +1 more
doaj   +1 more source

Three phosphatase families form a community: The phosphohydrolases that act upon inositol pyrophosphates

open access: yesFEBS Letters, EarlyView.
Inositol pyrophosphates are energy‐rich signaling molecules that perform critical functions in cells. Three different families of phosphatases hydrolyze the β phosphate of the inositol pyrophosphate molecules: two have narrow specificities and one is promiscuous.
Ronda J. Rolfes
wiley   +1 more source

Non-parametric manifold learning

open access: yesElectronic Journal of Statistics
We introduce an estimator for distances in a compact Riemannian manifold based on graph Laplacian estimates of the Laplace-Beltrami operator. We upper bound the error in the estimate of manifold distances, or more precisely an estimate of a spectrally truncated variant of manifold distance of interest in non-commutative geometry (cf.
openaire   +2 more sources

On Two-Stage Non-Parametric Estimation [PDF]

open access: yesThe Annals of Mathematical Statistics, 1963
Abstract : A two-sample, two-stage non-parametric estimation problem is studied. The parameter phi phi(F, G) under consideration is estimable (i.e., there exists an unbiased estimator which is a function of independent observations from two populations with cumulative distribution functions F(X) and G(Y). (Hence, it is called a two-sample problem.) The
openaire   +3 more sources

Improving Parametric Mortgage Prepayment Models with Non-parametric Kernel Regression [PDF]

open access: yes
Developing a good prepayment model is a central task in the valuation of mortgages and mortgage-backed securities but conventional parametric models often have bad out-of-sample predictive ability.
Michael Marschoun   +2 more
core  

Non-parametric IQC Multipliers in Data-Driven Robust Controller Synthesis [PDF]

open access: yes
The paper presents a robust data-driven controller synthesis method for generalised multi-input multi-output (MIMO) systems. Using the frequency response of a linear time-invariant (LTI) MIMO system and characterising perturbations through Integral ...
Klauser, Elias Sebastian   +2 more
core   +1 more source

Nonlinear Time Series and Neural-Network Models of Exchange Rates between the US Dollar and Major Currencies

open access: yesRisks, 2016
This paper features an analysis of major currency exchange rate movements in relation to the US dollar, as constituted in US dollar terms. Euro, British pound, Chinese yuan, and Japanese yen are modelled using a variety of non-linear models, including ...
David E. Allen   +3 more
doaj   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

open access: yesFEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar   +4 more
wiley   +1 more source

Non-Parametric Estimation of Forecast Distributions in Non-Gaussian, Non-linear State Space Models [PDF]

open access: yes, 2011
The object of this paper is to produce non-parametric maximum likelihood estimates of forecast distributions in a general non-Gaussian, non-linear state space setting.
Catherine S. Forbes (14030616)   +3 more
core   +1 more source

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