NEW! Leanpub Book LAUNCH 🚀 Beyond Burnups: The different ways to forecast delivery (and when to use them) by Nicolas Brown

youtu.be/4Bpk2G_Qrcw

#books #leanpublishing #selfpublishing #MonteCarlo #DeliveryForecasting #AgileDelivery #ProbabilisticForecasting #FlowMetrics

Probabilistic forecasting research combines hierarchical forecasting with conformal prediction to model uncertainty in EV charging demand across Scotland's evolving public charging network. The approach…

#Semiconductors #AIInfrastructure #ProbabilisticForecasting
https://arxiv.org/abs/2610.13588

Here is our product and my results of last two years of research; please give me your thoughts.
www.linkedin.com/posts/nasrin...

#fifa
#worldcup
#forecasting
#precipitation
#uta

Experiments show kinematic priors boost trajectory forecasting, with big gains in small or noisy datasets and modest gains in large-scale settings. #probabilisticforecasting

This section adds kinematic priors to trajectory forecasting, deriving Gaussian distributions from velocity, acceleration, speed‑heading, and steering. #probabilisticforecasting

This paper adds analytical kinematic priors for uncertainty across timesteps in trajectory forecasting, boosting performance and stability in traffic tasks. #probabilisticforecasting

What does it take to build next-gen #WeatherIntelligence? In #DTNsights, Renny Vandewege & Nic Wilson talk about #DTNWeatherHub, the customer problems it solves, & why #ProbabilisticForecasting matters when the forecast isn’t perfectly certain. Listen: dtn.link/53rk8w

#WeatherApp #WeatherResilience

What does it take to build next-gen #WeatherIntelligence? In #DTNsights, Renny Vandewege & Nic Wilson talk about #DTNWeatherHub, the customer problems it solves, & why #ProbabilisticForecasting matters when the forecast isn’t perfectly certain. Listen: dtn.link/53rk8w

#WeatherApp #WeatherResilience

What does it take to build next-gen #WeatherIntelligence? In #DTNsights, Renny Vandewege & Nic Wilson talk about #DTNWeatherHub, the customer problems it solves, & why #ProbabilisticForecasting matters when the forecast isn’t perfectly certain. Listen: dtn.link/53rk8w

#WeatherApp #WeatherResilience

If your stack has a probabilistic forecasting gap, this is the lowest-friction way to fill it.

#Forecasting #ConformalPrediction #TimeSeries #ProbabilisticForecasting #MachineLearning #OpenSource

#ConformalPrediction #ProbabilisticForecasting #TimeSeries #MachineLearning #Calibration #Statistics

You’re not assuming normality for convenience—you’re recognizing that nature has already made the decision.
Which distributions are you still trying to reshape instead of recognizing as already Gaussian?

MachineLearning #Calibration #ProbabilisticForecasting

It’s the go-to metric when forecasting with predictive distributions, not just point estimates.

#forecasting #datascience #uncertainty #probabilisticforecasting #crps #timeseries #analytics

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