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Estimating the Euler Equation for Output [PDF]
Federal Reserve Bank of San Francisco, Working Paper Series, 2002 New Keynesian macroeconomic models have generally emphasized that expectations of future output are a key factor in determining current output. The theoretical motivation for such forward-looking behavior relies on a straightforward generalization of the well-known Euler equation for consumption. In this paper, we use maximum likelihood and generalized
Glenn D. Rudebusch, Jeffrey C. Fuhrer
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Household food insecurity and cooking energy access in Nigeria: A panel data approach
Energy Nexus, 2023 Access to sources of cooking energy has potential impacts on food security, however, there is a paucity of information and empirical evidence on their linkages.
Adegbenga Emmanuel Adekoya +9 more
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Frontiers in Psychiatry, 2023 ObjectiveThe consequences and impact of violent behavior in schizophrenia are often serious, and identification of risk factors is of great importance to achieve early identification and effective management.MethodsThis follow-up study sampled adult ...
Zhuo-Hui Huang +12 more
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COMPARISON OF ESTIMATES FOR DISPERSIVE EQUATIONS [PDF]
Further Progress in Analysis, 2009 an expository note; 7 ...
Ruzhansky, Michael, Sugimoto, Mitsuru
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Comparison of predictor approaches for longitudinal binary outcomes: application to anesthesiology data [PDF]
PeerJ, 2014 Longitudinal data with binary repeated responses are now widespread among clinical studies and standard statistical analysis methods have become inadequate in the answering of clinical hypotheses.
Anil Aktas Samur +2 more
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Solving Estimating Equations With Copulas
Journal of the American Statistical Association, 2023 Thanks to their ability to capture complex dependence structures, copulas are frequently used to glue random variables into a joint model with arbitrary marginal distributions. More recently, they have been applied to solve statistical learning problems such as regression or classification.
Thomas Nagler, Thibault Vatter
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Penalized Exponentially Tilted Likelihood for Growing Dimensional Models with Missing Data
EntropyThis paper develops a penalized exponentially tilted (ET) likelihood to simultaneously estimate unknown parameters and select variables for growing dimensional models with missing response at random.
Xiaoming Sha +2 more
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Unbiased estimation of the solution to Zakai’s equation [PDF]
Monte Carlo Methods and Applications, 2020 Abstract In the following article, we consider the non-linear filtering problem in continuous time and in particular the solution to Zakai’s equation or the normalizing constant. We develop a methodology to produce finite variance, almost surely unbiased estimators of the solution to Zakai’s equation.
Hamza M. Ruzayqat, Ajay Jasra
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Estimates for $p$-Poisson equations
Differential and Integral Equations, 2000 Estimates for solutions of equations whose model is \[ -\text{ div}(|\nabla u|^{p-2}\nabla u) = f \] are given. Here \(f\) denotes a function in the weak \(L^q\) space. As an application of the results regularity of some entropy solutions are proved.
Kilpeläinen, Tero, Li, Gongbao
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مجله آب و خاک, 2017 Introduction: Solar radiation on the earth surface has a wide range of applications in hydrology, agriculture and meteorology. Solar radiation is an important parameter of estimated models of reference crop potential evapotranspiration such as the Penman–
Hamid Reza Fooladmand, Farzaneh Karimi
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