How to turn your time estimates into reliable predictions — and communicate them.
1
Shelter costs are rising rapidly in the US, but the situation in Canada is more precarious
1
Exploring the relationship between Kalman filtering and optimal frequency domain filtering.
13
How the Kalman filter uses its knowledge of a system's dynamics to predict its next move, and why that derives from Bayesian probability rules
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Why systems containing positive feedback loops will always be more prone to bouncing, wobbling, oscillating, jumping, vibrating, overshooting, and…
4
In which we explore how the Kalman filter approximates Bayesian probability in its update process, and then push it beyond its limits as we tackle the…
A deep-dive
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You don't need to know the probabilities to make use of probability.
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These Are Systems