Measuring Territorial Control in Civil Wars Using Hidden Markov Models: A Data Informatics-Based Approach

11/18/2017
by   Therese Anders, et al.
0

Territorial control is a key aspect shaping the dynamics of civil war. Despite its importance, we lack data on territorial control that are fine-grained enough to account for subnational spatio-temporal variation and that cover a large set of conflicts. To resolve this issue, we propose a theoretical model of the relationship between territorial control and tactical choice in civil war and outline how Hidden Markov Models (HMMs) are suitable to capture theoretical intuitions and estimate levels of territorial control. We discuss challenges of using HMMs in this application and mitigation strategies for future work.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/10/2020

Application of the Hidden Markov Model for determining PQRST complexes in electrocardiograms

The application of the hidden Markov model with various parameters in th...
research
06/16/2022

Bias and Excess Variance in Election Polling: A Not-So-Hidden Markov Model

With historic misses in the 2016 and 2020 US Presidential elections, int...
research
07/01/2020

Computational Model for Urban Growth Using Socioeconomic Latent Parameters

Land use land cover changes (LULCC) are generally modeled using multi-sc...
research
07/23/2019

Hidden Markov Models derived from Behavior Trees

Behavior trees are rapidly attracting interest in robotics and human tas...
research
10/18/2016

M2CAI Workflow Challenge: Convolutional Neural Networks with Time Smoothing and Hidden Markov Model for Video Frames Classification

Our approach is among the three best to tackle the M2CAI Workflow challe...
research
05/19/2023

Detecting Consumers' Financial Vulnerability using Open Banking Data: Evidence from UK Payday Loans

Behind the debt trap concept is the rationale that payday loans exacerba...

Please sign up or login with your details

Forgot password? Click here to reset