Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 80, No. 5 (2018), pp. 975-993 (19 pages) Estimating conditional quantiles of financial time series is essential for ...

This is the twelfth in a series of lecture notes which, if tied together into a textbook, might be entitled “Practical Regression.” The purpose of the notes is to supplement the theoretical content of ...

Categorical-or qualitative-time series data with random time-dependent covariates are frequently encountered in diverse applications as the list of examples shows. As with "ordinary" time series, the ...

Modeling linear regression in Excel is easier with the Data Analysis ToolPak. Regression output can be ... "STAT 501: Regression Methods; Topic 2: Time Series & Autocorrelation." JMP Statistical ...

Recent advances in forecasting demand within emergency departments (EDs) have been bolstered by the integration of machine learning and time series analytical techniques. The objective of these ...

Time series graphs are intuitive, helping you relate a metric to time. Marketing analysts are often faced with choosing a data visualization that speaks to managers and colleagues interested in ...

Enhance your skills in energy statistical analysis with our expanded three-day workshop. Dive deep into crucial topics like risk quantification and pricing models using practical exercises in Excel.

Investors choose funds in the hopes that they align with their risk preferences and long-term goals. If funds drift from their stated intentions, investors could end up lost at sea. Funds need to ...

Summer short courses are designed to enhance the elective offerings available to IAD students, and for students in related programs at UB. These ‘bite-size’ courses are designed to: Equip students ...