5 citations · 8 across the 4 of their papers we have counts for
5 papers
A Step by Step Mathematical Derivation and Tutorial on Kalman Filters
Hamed Masnadi-Shirazi, Alireza Masnadi-Shirazi, Mohammad-Amir Dastgheib
We present a step by step mathematical derivation of the Kalman filter using two different approaches. First, we consider the orthogonal projection method by means of vector-space…
Combining Forecasts Using Ensemble Learning
Hamed Masnadi-Shirazi
The problem of combining individual forecasters to produce a forecaster with improved performance is considered. The connections between probability elicitation and classification…
Kernel Two-Sample Hypothesis Testing Using Kernel Set Classification
Hamed Masnadi-Shirazi
The two-sample hypothesis testing problem is studied for the challenging scenario of high dimensional data sets with small sample sizes. We show that the two-sample hypothesis test…
Strictly Proper Kernel Scoring Rules and Divergences with an Application to Kernel Two-Sample Hypothesis Testing
Hamed Masnadi-Shirazi
We study strictly proper scoring rules in the Reproducing Kernel Hilbert Space. We propose a general Kernel Scoring rule and associated Kernel Divergence. We consider conditions un…
Refinement revisited with connections to Bayes error, conditional entropy and calibrated classifiers
Hamed Masnadi-Shirazi
The concept of refinement from probability elicitation is considered for proper scoring rules. Taking directions from the axioms of probability, refinement is further clarified usi…