range management needs information on distribution of livestock. the better the distribution of the livestock, the more uniform the use of the rangeland. this study was conducted to record the path of the herd steering by the shepherd. a gps was attached to a three year old ewe which was moving with the flock. the path of flock movement was recorded for three years on a monthly basis during the...

This paper aims to study the effect of herding on buy and hold, momentum and contrarian strategy. In this research, the cross-sectional absolute deviation is used to identify herding behavior in twenty industries in Tehran stock market. It is observed that the down and boom periods had more industries with herding. Moreover, the weak herding is more common than the strong herding in this market...

OF THE DISSERTATION Herding: Driving Deterministic Dynamics to Learn and Sample Probabilistic Models By Yutian Chen Doctor of Philosophy in Computer Science University of California, Irvine, 2013 Professor Max Welling, Chair The herding algorithm was recently proposed as a deterministic algorithm to learn Markov random fields (MRFs). Instead of obtaining a fixed set of model parameters, herding...

BACKGROUND Indigenous people often have a pattern of mortality that is disadvantageous in comparison with the general population. The knowledge on causes of death among the Sami, the natives of northern Scandinavia, is limited. The aim of the present study was to compare gender and cause specific mortality patterns for reindeer herding Sami, non-herding Sami, and non-Sami between 1961 and 2000....

We show that the algorithm to extract diverse M -solutions from a Conditional Random Field (called divMbest [1]) takes exactly the form of a Herding procedure [2], i.e. a deterministic dynamical system that produces a sequence of hypotheses that respect a set of observed moment constraints. This generalization enables us to invoke properties of Herding that show that divMbest enforces implausib...

Herding defines a deterministic dynamical system at the edge of chaos. It generates a sequence of model states and parameters by alternating parameter perturbations with state maximizations, where the sequence of states can be interpreted as “samples” from an associated MRF model. Herding differs from maximum likelihood estimation in that the sequence of parameters does not converge to a fixed ...

We find substantial herding in U.S. corporate bonds among bond fund managers, much higher than that previously documented for the equity market. Herding is generally stronger among illiquid bonds, and buy herding and sell herding are driven by different factors. In particular, sell herding increases on negative news about bond ratings and corporate earnings. Interestingly, increases in ex-post ...

In this paper, we are interested in the factors that influence herding behavior in P2P lending marketplaces. We are using data from Prosper.com to examine whether internal market specific factors and external economic factors influence the amount of herding exhibited in the market. We also investigate what consequences herding has and how marketplace participants can benefit or suffer from herd...

Collective behavior of the complex socio-economic systems is heavily influenced by the herding, group, behavior of individuals. The importance of the herding behaviormay enable the control of the collective behavior of the individuals. In this contribution we consider a simple agent-based herding model modified to include agents with controlled state. We show that in certain case even the small...