Phys.org

State-estimation method allows for efficient forecasts without details of underlying model

A pair of mathematicians, Kevin Course and Prasanth Nair at the University of Toronto's Institute for Aerospace Studies, has developed a new state-estimation method to create efficient forecasts ...
Arabian Post on MSN

JUNEiNTER Unveils the LCP Game Revenue Estimation Model

Special Event for F2P Game Developers Launches Alongside the AnnouncementSINGAPORE- Media OutReach Newswire – 17 August 2026 – With the global game market grown to an approximate value of US$200 ...
National Academies of Sciences%2c Engineering%2c and Medicine

Using Models to Estimate Hog and Pig Inventories: Proceedings of a Workshop

Lee Schulz (Iowa State University) moderated this workshop session, introducing Gavin Corral from the Research Division of the National Agricultural Statistics Service (NASS) to summarize the modeling ...
International Monetary Fund

Regime-Switching Factor Models and Nowcasting with Big Data

This paper shows that the Expectation-Maximization (EM) algorithm for regime-switching dynamic factor models provides satisfactory performance relative to other estimation methods and delivers a good ...
San Francisco Fed

Estimating Nonlinear Heterogeneous Agent Models with Neural Networks

We leverage recent advancements in machine learning to develop an integrated method to solve globally and estimate models featuring agent heterogeneity, nonlinear constraints, and aggregate ...