1,007 research outputs found
OB00090 - Eran Stone Boar
No full text<a class="mw-redirect" href="https://en.wikipedia.org/wiki/Eran,_India" title="">Eran, Madhya Pradesh</a>.
<a href="https://upload.wikimedia.org/wikipedia/commons/1/10/5th_century_Varaha_boar_statue_with_goddess_earth_hanging%2C_sages_and_saints_reliefs_on_its_body.jpg"></a>
Stone Boar, inscribed with a record of Toramāṇa
OB00045 - Eran Pillar of Goparāja
No full textEran, Madhya Pradesh.
Hero-stone of Goparāja, mentioning Bhānugupta and located near the hamlet of Pahlejpur
On the Existence of the Maximum Likelihood Estimates for Poisson Regression
No full textWe note that the existence of the maximum likelihood estimates for Poisson regression depends on the data configuration. Because standard software does not check for this problem, the practitioner may be surprised to find that in some applications estimation of the Poisson regression is unusually difficult or even impossible. More seriously, the estimation algorithm may lead to spurious maximum likelihood estimates. We identify the signs of the non-existence of the maximum likelihood estimates and propose a simple empirical strategy to single out the regressors causing this type of identification failure.Poisson estimation, gravity equation
Trading Partners and Trading Volumes: Implementing the Helpman-Melitz-Rubinstein Model Empirically
No full textHelpman, Melitz, and Rubinstein (2008)-HMR-present a rich theoretical model to study the determinants of bilateral trade flows across countries. The model is then empirically implemented through a two-stage estimation procedure. This note seeks to clarify some econometric aspects of the estimation approach used by HMR and explore the consequences of possible departures from the maintained distributional assumptions.Gravity equation, Heteroskedasticity, Jensens inequality
Relationships between mobile phone usage and activity-travel behavior: A review of the literature and an example
No full textAlmost everyone has a mobile phone today. In addition to calls and text messages, people are utilizing mobile apps and websites to connect to the world and explore different content anytime and anywhere. The use of smart phones generates billions of records, including spatiotemporal trajectories, and various mobile phone usage details, such as call duration, and frequency of visiting a certain type of website. Most transportation researchers have only focused on spatiotemporal traces, which represent activity-travel behavior of users. However, it is worth making full use of smart phone data to study how mobile phone usage is related to activity-travel behavior. This chapter first reviews the existing literature on the relevant topics to demonstrate the lack of research on the relationship between mobile internet usage and activity-travel behavior. Based on an 11-day dataset from Shanghai that includes not only spatiotemporal traces but also the frequencies of browsing different categories of mobile internet content (e.g., tourism and finance), we examine several relationships between mobile internet usage and activity-travel behavior.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Transport and Plannin
Decentralized multi-agent path finding framework and strategies based on automated negotiation
No full textThis paper introduces a negotiation framework to solve the Multi-Agent Path Finding (MAPF) Problem for self-interested agents in a decentralized fashion. The framework aims to achieve a good trade-off between the privacy of the agents and the effectiveness of solutions. Accordingly, a token-based bilateral negotiation protocol and two negotiation strategies are presented. The experimental results over four different settings of the MAPF problem show that the proposed approach could find conflict-free path solutions albeit suboptimally, especially when the search space is large and high-density. In contrast, Explicit Estimation Conflict-Based Search (EECBS) struggles to find optimal solutions. Besides, deploying a sophisticated negotiation strategy that utilizes information about local density for generating alternative paths can yield remarkably better solution performance in this negotiation framework.Interactive Intelligenc
Management of prepregnancy, pregnancy and postpartum obesity from the FIGO Pregnancy and Non-Communicable Diseases committee: A FIGO (International Federation of Gynecology and Obstetrics) guideline
No full textEstablishing consensus criteria for the diagnosis of diabetes in pregnancy following the HAPO study
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