Your English writing platform
Discover LudwigExact(60)
Sufficient statistics for welfare analysis: a bridge between structural and reduced-form methods.
The sufficient statistics are produced using the Bayesian recursive relations and particle filter algorithm.
Course examines learning techniques and related models; the role of sufficient statistics; recursive and empirical Bayes procedures; and convergence properties.
We illustrate these trade-offs in an empirical sufficient statistics approach that is tightly linked to the graphical framework.
This paper develops a theory of optimal capital taxation that expresses optimal tax formulas in sufficient statistics.
Probability distributions over state space, or beliefs, are represented in parametric form using low-dimensional vectors of sufficient statistics.
The belief space, over which the value function must be estimated, has dimensionality equal to the number of sufficient statistics.
This algorithm is based on three steps: (1) calculating local sufficient statistics at every node, (2) estimating a global sufficient statistics vector using a consensus filter, (3) updating parameters of the finite mixture model based on the global sufficient statistics vector.
I present a general framework that shows how many policy questions can be answered by estimating a small set of sufficient statistics using program-evaluation methods.
The imperfect state information formulation is transformed using sufficient statistics to a dynamical optimization problem that can be solved using approximate dynamic programming.
We derive a "sufficient statistics" formula for optimal UI that is expressed in terms of observable variables and can therefore be used in applied work.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com