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Stanford
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1st lesson free
- Maths
- Statistics
- Other sciences
- Quantitative methods
Dissertation assistance, infrastructure development, preparation for exams, homework assistance, offline projects by Stanford Statistics PhD
- Maths
- Statistics
- Other sciences
- Quantitative methods
Lesson location
About Stanford
I am a professional offering tutoring services in the fields of applied statistics, theoretical statistics, probability, stochastic processes, econometrics, biostatistics, actuarial mathematics, optimization and finance. I hold a PhD in Statistics and a graduate level degree in Finance from Stanford University. During my 5 years at Stanford I taught more than 10 undergraduate, master's level and PhD level statistics and probability courses. After graduation, for more than a decade, I have been working in the financial industry focusing on projects pertaining to data mining, time series analysis, computational statistics, financial engineering and systematic trading. Equally importantly, I have tutored students and business professionals in all areas of statistics and quantitative finance for the last 11 years. I have consulted researchers in medical, social and economic sciences regarding statistical aspects of their research for 13 years.
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About the lesson
- Primary
- Secondary
- SPM
- +5
levels :
Primary
Secondary
SPM
Form 6
STPM
Adult education
Masters
Doctorate
- English
All languages in which the lesson is available :
English
I help with exams, assignments, presentations, literature review, theoretical research, programming projects and data analysis in any of the major statistical packages (R / RStudio, Matlab, Stata, SPSS / AMOS, SAS, JMP, Minitab, EViews). As my experience shows, I work with all types of clients, from college students to full professors in other fields. Typically, I tutor via videoconferencing and screen sharing in Skype (hourly rate; 2 hours minimum per session) or submit the complete analysis via e-mail (fixed price). The effective hourly rate starts at $60 per hour and increases with the level of material... Selected areas of expertise: regression, non-parametric statistics, ANOVA / ANCOVA / MANCOVA, generalized linear models (GLM), robust statistics, principal component analysis, structural equation modeling (SEM), Monte Carlo, Bayesian statistics, missing data imputation, machine learning, survey sampling, clustering methods, longitudinal data, measure theoretic probability theory, random fields, stochastic calculus, Markov chains, jump processes, meta-analysis, statistical genetics, survival analysis, credit risk, pricing of financial derivatives, MBA level finance, statistical strategies, financial economics, linear programming, convex and stochastic optimization, numerical methods, signal processing, statistics in psychology, sociology and political science.
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