Umbrella package of the 'spatstat' family................
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Updated
May 3, 2024 - R
Umbrella package of the 'spatstat' family................
Pieces of code that have appeared on my blog with a focus on stochastic simulations.
Discrete Event simulation of a queue using Python.
A time-delayed light curve simulation code for GRB location triangulation via random Fourier features.
HFT & Stochastic control numerical implementations from "Optimal high frequency trading with limit and market orders" (GUILBAUD & PHAM)
An M/M/1/K queue Python3 simulator that compares the simulation results against the analytics results. The queue have limited capacity K and processes may be blocked (if queue is full) or leave queue before get service (there is a deadline for each process) or get service from server.
Morozov discrepancy principle in statistical inverse problems with Poisson noise
This repository contains the code needed to run experiments in our paper "Stopping Criteria for Technology-Assisted Reviews based on Counting Processes"
Simple Poisson process simulation in Java
Various models for forecasting Poisson processes with cyclic underlying variability
Research Internship at Aalborg University
Mittehomogeense Poissoni liitprotsessi tõenäosuslik mudel
Simulations of UU1, MM1, MM2, and a Network of queues - now with docker support 🐳
Assignments and projects of stochastic processes course - Fall 2022
Sub-package of spatstat containing functionality for parametric modelling and inference
Modelling framework for creating Integrated SDMS
IM61011 - Stochastic Modelling course offered by the Industrial and Systems Engineering Department, IIT Kgp
Stima giornaliera del valore R(t) del COVID-19 nelle regioni italiane
Detecting anomaly in SMS sending behaviour of a person by Particle Swarm Optimization
Credit Card Fraud Simulation using a Non-homogeneous Poisson Process
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