Teaching Assistant Professor
and
Head Coach of Stevens Men's Soccer Club (Link)

Dr. Hadi Safari Katesari

CV

I am currently a Teaching Assistant Professor in the Department of Mathematical Sciences and Head Soccer Coach in the Stevens Men's Soccer Club at the Stevens Institute of Technology.

All Courses

I teach core courses of statistics for Data Science Master’s major as well as Mathematics and Business graduate (Master and Doctorate) courses at Stevens.

Soccer Head Coach

Please find the details of my soccer coaching here: Coach Hadi

Statistician

About

I am currently a Teaching Assistant Professor in the Department of Mathematical Sciences and Head Soccer Coach in the Stevens Men's Soccer Club at the Stevens Institute of Technology. My research consists of developing statistical tools for analysing complex dynamic and dependent data, in particular in the context of dimension reduction for multivariate time series. For example, in the context of financial interactions, there is often some latent hierarchy present among a group of factors which leads to dynamic interaction data. I have developed methods to understand the latent structure present in data such as this. Please visit my personal coaching website.

Contact

hsafarik@stevens.edu

Choose Your Course

our presentation is for you

Module 1: Watch the video to learn more about Introduction, Fundamental Concepts, Nature of Time Series Data with Examples, Stochastic Process, White Noise, Means, Variances, and Covariances, Random Walk, Stationarity in Time Series Analysis.

Module 1

our presentation is for you

Module 2: Watch the video to learn more about Deterministic and Stochastic Trends, Regression Methods, Cyclical or Seasonal Trends, Cosine Trends, Interpreting Regression Output, Reliability and Efficiency of Regression Estimates in Time Series Analysis.

Module 2

our presentation is for you

Module 3: Watch the video to learn more about Models for Stationary Time Series I, General Linear Processes, Moving Average Processes, MA(p), Autoregressive Processes, AR(q), Yule-Walker equations in Time Series Analysis.

Module 3

our presentation is for you

Module 4: Watch the video to learn more about Models for Stationary Time Series II, Mixed Autoregressive Moving Average Model, ARMA(p,q), Invertibility, Stationarity Region for an AR(2) Process, Autocorrelation Function for ARMA(p,q) in Time Series Analysis.

Module 4

our presentation is for you

Module 5: Watch the video to learn more about Models for Nonstationary Time Series, Stationarity Through Differencing, ARIMA Models, Constant Terms in ARIMA Models, Transformations, Backshift Operator in Time Series Analysis.

Module 5

our presentation is for you

Module 6: Watch the video to learn more about Model Specification, Sample, Partial, and Extended Autocorrelation Function, Nonstationarity, Overdifferencing, The Dickey-Fuller Unit-Root Test in Time Series Analysis.

Module 6

our presentation is for you

Module 7: Watch the video to learn more about Parameter Estimation, Method of Moments, (Unconditional) Least Squares Estimation, Maximum Likelihood Estimators, Asymptotic Properties of the Estimates, Bootstrapping ARIMA Models in Time Series Analysis.

Module 7

our presentation is for you

Module 8: Watch the video to learn more about Model Diagnostics, Residual Analysis, Normality and Autocorrelation of the Residuals, Ljung-Box Test, Identifiability, Overfitting and Parameter Redundancy in Time Series Analysis.

Module 8

our presentation is for you

Module 9: Watch the video to learn more about Forecasting, ARIMA Forecasting, Prediction Limits, Updating ARIMA Forecasts, Forecast Weighted Moving Averages, Forecasting Transformed Series, State Space Models, Kalman filtering in Time Series Analysis.

Module 9

our presentation is for you

Module 10: Watch the video to learn more about Seasonal Models, Seasonal ARIMA Models, Multiplicative Seasonal ARMA Models, Nonstationary Seasonal ARIMA Models, Seasonal Model Specification, Fitting, and Checking, Forecasting Seasonal Models in Time Series Analysis.

Module 10

our presentation is for you

Module 11: Watch the video to learn more about Time Series Models of Heteroscedasticity, Some Common Features of Financial Time Series, ARCH Models, GARCH Models, Long Memory ARMA and Fractional Differencing in Time Series Analysis.

Module 11

our presentation is for you

Module 12: Watch the video to learn more about Group Course Project of Time Series Analysis.

Module 12

our presentation is for you

Module 13: Watch the video to learn more about Multivariate Time Series Analysis, VAR Models, VMA Models, VARMA Models in Time Series Analysis.

Module 13

Research

Broadly, my research consists of developing statistical tools for analysing complex dynamic and dependent data, in particular in the context of dimension reduction for multivariate time series. Technically, I conduct theoretical and applied research in Bayesian statistics, multivariate time series, factor analysis, cluster analysis, copula models, and dependencies. My current research has benefited greatly from collaborations with researchers inside and outside of statistics. Please find my research profile on Google Scholar.

Soccer Coaching

As the Head Coach of Stevens Men's Soccer Club, I am responsible for overseeing all aspects of the team's training, development, and performance. This includes designing and implementing training programs, developing game strategies, scouting and recruiting new players, and managing team dynamics. I work closely with Paige Moriarty, assistant director of Athletic Department, and team captains to ensure that everyone is working together towards a common goal, and I provide guidance and mentorship to players to help them develop both on and off the field. Overall, my goal is to create a positive and competitive environment that allows our team to reach its full potential and achieve success both on and off the soccer field. For my Soccer coaching websites, you may visit Coach Hadi website.

Let’s Keep In Touch