Pim Labee
Biographic Data
| ID | 4418438 |
|---|---|
| NAME | Pim Labee |
| GIVEN NAMES | Pim |
| FAMILY NAME | Labee |
| SIGNATURE | LABEE P |
| AFFILIATIONS | Eindhoven University of Technology |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Heterogeneity in inter-episode intervals for discretionary activities; covariate-dependent finite mixture models
Even though the importance of considering day-to-day variability in travel demand modeling has long been acknowledged in the field, most state-of-the-art activity-based models still only have a single-day prediction horizon. As such, bias arises from the aggregation to ‘an average’ day. A few which differentiate between days of the week (such as Albatross) still fail to incorporate dependencies between activities conducted in multiple days. Under…
Accommodating (non-)monotonically changing hazards in finite mixture models for the inter-episode duration of discretionary activities
Understanding the dynamics behind inter-episode durations of discretionary activities can lay the groundwork for expanding activity-based models beyond single-day representation to encompass multi-day forecasting. Although the field has long recognized the variability in day-to-day activities, many advanced activity-based models still neglect the interdependencies among activities spanning multiple days. This paper examines the intervals between …
No prominent works on this page.
Heterogeneity in inter-episode intervals for discretionary activities; covariate-dependent finite mixture models
Even though the importance of considering day-to-day variability in travel demand modeling has long been acknowledged in the field, most state-of-the-art activity-based models still only have a single-day prediction horizon. As such, bias arises from the aggregation to ‘an average’ day. A few which differentiate between days of the week (such as Albatross) still fail to incorporate dependencies between activities conducted in multiple days. Under…
Accommodating (non-)monotonically changing hazards in finite mixture models for the inter-episode duration of discretionary activities
Understanding the dynamics behind inter-episode durations of discretionary activities can lay the groundwork for expanding activity-based models beyond single-day representation to encompass multi-day forecasting. Although the field has long recognized the variability in day-to-day activities, many advanced activity-based models still neglect the interdependencies among activities spanning multiple days. This paper examines the intervals between …
Bayesian Methods and Mixture Models (2 works) · Covariate (2 works) · Fuzzy Systems and Optimization (2 works) · Baseline (sea) (1 work) · Data collection (1 work) · Duration (music) (1 work) · Econometrics (1 work) · Interdependence (1 work) · Mathematics (1 work) · Mixture model (1 work)