Synthetic Traffic Models Capturing a Full Range of Cache Coherent Behaviour
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Updated
May 17, 2019 - C++
Synthetic Traffic Models Capturing a Full Range of Cache Coherent Behaviour
R package to facilitate simulations for survival endpoints with non proportional hazards
Simulates the flaring activity of a single magnetar using the Monte Carlo technique.
R package for propensity score weighting using machine learning methods
Survival Distributions with Piece-Wise Constant Hazards
R Package with statistical research tools
Senior capstone on European call option pricing: derives Black–Scholes vs Monte Carlo under GBM and demonstrates convergence using real market inputs. Includes the Python pipeline (yfinance + NumPy) that reproduces the BS vs MC comparison table.
Simulator for Nintendo’s top grossing mobile game with customizable pools, rates, and goals.
Implementing Stochastic Models in Queuing Theory
Monte carlo simulation to illustrate robustness of one sample t-test
[PT] Simulação para calcular a distância média percorrida em uma caminhada aleatória utilizando diferentes números de passos.
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