The RM of Stanley council is meeting in February 2026 to review five applications for property use changes and a building variance near the City of Winkler, Manitoba. The files include four ...

Heteroscedasticity describes a situation where risk (variance) changes with the level of a variable. In financial models, this means volatility is not constant. Most pricing and forecasting models ...

Discover how sample size neglect impacts statistical conclusions and learn to avoid this cognitive bias studied by renowned experts like Tversky and Kahneman.

Most players know how to place a bet in roulette. Fewer know how each bet behaves over time. Behind every spin, there is a ...

Volatility forecasting is a key component of modern finance, used in asset allocation, risk management, and options pricing. Investors and traders rely on precise volatility models to optimize ...

Ready to unlock your full math potential? 🎓Subscribe for clear, fun, and easy-to-follow lessons that will boost your skills, build your confidence, and help you master math like a genius—one step at ...

Abstract: This paper considers estimation of a random variable in Poisson noise. Specifically, the paper focuses on properties of the conditional mean estimator as a function of the scaling ...

Many finance teams treat variance analysis as a box-checking exercise: Set a threshold, flag the swing, move on. That’s why so many controllers spend days chasing noise while risks slip through. It’s ...

Speed variance—not just speed—drives crash risk. Higher average speeds raise deaths and big gaps trigger conflicts. Drive the lawful flow. “Slow equals safe” makes a great bumper sticker and a lousy ...

Abstract: An estimation paradigm is presented for scalar discrete linear systems entailing additive process and measurement noises that have Cauchy probability density functions (pdf). For systems ...