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ggcarvalho.dev | ||
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almostsuremath.com
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| | | | | It is quite common to consider functions of real-time stochastic process which depend on whether or not it crosses a specified barrier level K. This can involve computing expectations involving a real-valued process X of the form $latex \displaystyle V={\mathbb E}\left[f(X_T);\;\sup{}_{t\le T}X_t \ge K\right] &fg=000000$ (1) for a positive time T and function f:?. I... | |
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github.com
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| | | | | A few demos showing how to estimate projects using Monte Carlo simulations. - lucasfcosta/agile-monte-carlo-demo | |
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gregorygundersen.com
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| | | | | [AI summary] The author writes a technical blog post demonstrating and validating a Python simulation of geometric Brownian motion in the context of mathematical finance. | |
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www.integralist.co.uk
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| | | Introduction Information vs Data Frequency Watch out for misleading data Pie Chart Bar Chart Stacked Bars Split Bars Histograms Differences? Calculating dimensions Frequency Density? Line Graphs Averages Which average to use? Ranges Percentiles Variance Conclusion Introduction I started learning about statistics because I found myself doing a lot of operational monitoring (i.e. making systems more observable, instrumenting individual services, and monitoring that data via custom built dashboards). Althou... | ||
