Bayesian Causal Inference in Doubly Gaussian DAG-probit Models

no code implementations • 12 Apr 2023 • Rasool Tahmasbi, Keyvan Tahmasbi

We assume that each group follows a Gaussian distribution under its DAG.

Causal Inference

Real-time Drift Detection on Time-series Data

no code implementations • 12 Oct 2021 • Nandini Ramanan, Rasool Tahmasbi, Marjorie Sayer, Deokwoo Jung, Shalini Hemachandran, Claudionor Nunes Coelho Jr

Practical machine learning applications involving time series data, such as firewall log analysis to proactively detect anomalous behavior, are concerned with real time analysis of streaming data.

Time Series Time Series Analysis

Boosted Embeddings for Time Series Forecasting

no code implementations • 10 Apr 2021 • Sankeerth Rao Karingula, Nandini Ramanan, Rasool Tahmasbi, Mehrnaz Amjadi, Deokwoo Jung, Ricky Si, Charanraj Thimmisetty, Luisa Polania Cabrera, Marjorie Sayer, Claudionor Nunes Coelho Jr

Many advanced autoregressive methods such as ARIMA were used to develop forecasting models.

Time Series Time Series Forecasting