Search Results for "probability simulation"
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Showing 25 open source projects for "probability simulation"
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Statistics101 - Resampling Statistics
Use simulation to perform statistical analyses.
Statistics101 is an Integrated Development Environment (IDE) that uses a simple, powerful language called “Resampling Stats” to develop Monte Carlo programs to analyze and solve statistical problems. The original Resampling Stats language and computer program were developed by Dr. Julian Simon and Peter Bruce as a new way to teach Statistics to social science students. Of course, social science students aren't the only ones who can benefit. Anyone who wants to learn statistics will find that... -
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eprb_signal_correlations
Simulation of a two-channel Bell test, with closed-form proofs
Derivation, entirely by probability theory, of the correlation coefficient for a two-channel Bell test, with simulation in Ada and other languages. The Nobel Committe for Physics bans this program for subversive content. (Mirror of the repository at https://github.com/chemoelectric/eprb_signal_correlations) -
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BEDS - Bed Evaluation & Design System
A system for designing and evaluating patient flow in hospitals.
BEDS evaluates patient flow in hospitals. Specifically, BEDS evaluates the occupancy of beds and the probability of receiving a bed on arrival to the hospital. BEDS is built on the assumption that patients arrive with a stationary intensity, and that the distribution governing their length-of-stay is also stationary. Thus, BEDS works only when modeling inpatient wards. BEDS further assumes a setup consisting of a number of patient types and wards. The wards contain a fixed capacity.... -
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Stats With Julia Book
Collection of runnable Julia code examples for a statistics book
StatsWithJuliaBook is the companion code repository for the book Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial Intelligence. It contains over 200 code blocks that correspond to the book’s ten chapters and three appendices, covering topics from probability theory and data summarization to regression analysis, hypothesis testing, and machine learning basics. The repository is designed for Julia users and provides ready-to-run examples that reinforce theoretical concepts with practical implementation. Readers can explore how Julia supports statistical modeling, simulation, and computational methods in data science workflows. ... -
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Newsvendor Model Simulation Spreadsheet
Excel Spreadsheet Model for Single Period Inventory Problems
The spreadsheet (Excel) of a single-period inventory model with stochastic demand can be used as a simulation tool for engineering education or Decision Support System. Based on spreadsheet techniques and examples described in the following sources: Albright S. C., & Winston W. L. (2005). Spreadsheet modeling and applications: essentials of practical management science, South-Western Pub. Albright, S. C. W. C., Winston, W., & Zappe, C. (2010). Data analysis and decision making. Cengage... -
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Think Bayes
Code repository for Think Bayes
...Instead of heavy focus on continuous mathematics or calculus, the book emphasizes learning Bayesian inference by writing Python programs. The project includes code examples, scripts, and environments that correspond to the chapters of the book. Learners can run the code, experiment with probability distributions, compute posterior probabilities, and understand Bayesian updating via simulation and algorithmic methods. The book and code encourage thinking in terms of discrete approximations (sums over distributions) rather than continuous integrals, making it more accessible to many programmers. Over time, the repository has been updated (including a second edition version) to reflect improved practices, corrections, and modern Python tooling. -
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Cambridge Rocketry Simulator
Simulate high power rocket flights with splash down plots
This software allows you perform six degree of freedom simulations of High Power Rocket (HPR) and model rocket flights. Parachute descent is also simulated. 3D flight trajectories are produced as well as detailed tabular flight data. Running in Monte Carlo mode allows generates multiple possible flight paths and splash down plots, indicating the probability of landing in an area. Peer-reviewed publication in the Journal of Open Research Software... -
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Pixel Empires
A cellular automation simulation governed by probability.
This cellular automation simulation uses probability to control the growth and decay of different cells. This simulation uses cells of 6 different colors each of which is initially given one cell to be placed in a random location on the grid. 3 rules govern the evolution of this system: First, each cell will randomly select an empty cell around it or itself. -
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A user-friendly drawing and verification tool for Message Sequence Charts (MSC, HMSC) and UML Sequence Diagrams. Integrated with Microsoft Visio.
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QPNet
Synchronous Petri Nets' emulator
QPNet (Quick Petri Net) is a fast Petri Nets' emulator, created by students of Moscow State Technical University of Radio Engineering, Electronics and Automation. It brings benefits for the educational process, while being under further development and extension. QPNet это быстрый эмулятор сетей Петри, созданный студентами МИРЭА. Он применяется в учебном процессе, а так же продолжает разрабатываться и эволюционировать. -
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SIMtoEXP
For comparison of simulation and experimental scattering data
SIMulation to EXPeriment is software that allows the direct comparison of simulation density information with that obtained from X-ray and neutron scattering experiments, by converting the simulation data to form factors. It also calculates volume probability distributions according to a space filling volumetric model. Written in C++ and Qt, SIMtoEXP has a very simple and easy to use GUI with interactive plotting. -
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RNA-Seq-Simulator
Realistic simulation of RNA-Seq short reads
A suite of Python programs to produce simulated Illumina RNA-Seq reads with a high level of realism. The starting positions of the reads and the distributions of read errors and quality codes are all empirically derived from real RNA-Seq datasets. The suite includes Python scripts to prepare the empirical read creation probability and read error distribution tables, and to generate and postprocess the simulated reads. -
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...The package is designed to solve any of the following reactions by either one of the two approaches mentioned: Synthesis-Decompostion Reaction Chain Reaction Nuclear Chemical Reaction Lodka Model Brusselator Model Furthermore, the Stochastic approach can be computed by several stochastic simulation algorithms. The DetStoch package offers four stochastic algorithms that use probability functions simulated via Monte Carlo methods: Gillespie's Direct Method, Gillespie's First Reaction Method, Bruck and Gibson Next Reaction Method and Tau-Leaping Method.
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Rand Tree
Random Tree Generator for MatLab
RandTree is a MatLab based tree simulator program where the algorithm is based on Honda's model. We have used probabilistic generation of branches in order to simulate visually realistic tree structures. This program is designed to generate branching structures with bifurcation branching pattern (sympodial branching). By changing the probabilities and branching angles, you can generate different shapes of trees. -
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MIDA
Mitochondiral Infectious Damage Adaptation (MIDA) model of aging
This project provides the source code for the Mitochondiral Infectious Damage Adaptation (MIDA) model of aging. A probabilistic modeling approach is applied by solving the master equation in mitochondrial quality state space in the presence of fusion-fission events, decay of functional quality, mitophagy and mitochondrial biogenesis, as well as molecular damage originating from a random source or from infectious events during fusion and fission. The provided source code is written in... -
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Noisy Channel Simulator
Demonstrate errors in transmission of a file over a noisy channel.
This program was written to dimonstrate errors in transmission for a presentation on Claude Shannon's Noisy Channel Coding Theorem. It takes an input file, the probability of a bit being flipped, and, if specified, the size of the header of the file. The program was intended to take monochrome bitmap files as input, so that each bit refers to a pixel in the image and thus, it would be easy to see errors in the output file, as some of the pixels would be flipped; however, it will work on any... -
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The UMS project provides an Microsoft Excel Add-in that allows for simple Monte Carlo simulation. It offers functions for drawing from various well-known probability distributions (Normal, Exponential etc).
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SimulME is a Java ME (J2ME) application with Queueing calculator, Stopwatch, Monte Carlo simulation, Random Number Generator (RNG), Probability distributions, Kolmogorov-Smirnov and Chi-square tests. It works with MIDP 2.0 and CLDC 1.1 profiles.
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PIP is a plugin that adds support to Postgresql for querying and computing expectations, moments, and other statistical measures over continuous distributions by making probability distributions first-class citizens.
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A C++ library for machine learning within dynamic systems. It provides methods such as the Kalman, unscented Kalman, and particle filters and smoothers, as well as useful classes such as common probability distributions and stochastic processes.
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RNGSHARP is an easy to extend C# library for generating generic objects with a specific probability or random numbers from a wide variety of distributions. Library provides mix distributions system and a way to set output accuracy.
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The Statistics Online Computational Resource (SOCR) provides online aids for probability and statistics education, technology based instruction and statistical computing, including applets, computational and graphing tools and educational materials.
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KStochastic gives the user the ability to create pictures of stochastic processes based on arbitrary probability distributions. Those pictures can then be used for illustration purposes in various publications treating random phenomena.
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This is a Monte-Carlo-Simulation of Poker. After n Monte-Carlo-Steps you get the probability distribution of your predefined problem.
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Using GAME, SET, MATCH assignment as a starting point, create a simulation of running a ZOO. Specifically, assigning zoo animals to specific outdoor enclosures such that they have enough space and that they can not move into other enclosures of the zoo (we don't want the lions eating the monkeys). To do this, generate a random grid of 25 x 25 with probability of an obstacle(#) of 0.50. This grid will be your zoo area and the regions will be the various enclosures for your animals. ...
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