menu
{ "item_title" : "Towards Bayesian Model-Based Demography", "item_author" : [" Jakub Bijak", "Philip A. Higham", "Jason Hilton "], "item_description" : "Part I: Preliminaries: Chapter 1. Introduction.- Chapter 2. Uncertainty and complexity: towards model-based demography.- Part II: Elements of the modelling process.- Chapter 3. Principles and state of the art of agent-based migration modelling.- Chapter 4. Building a knowledge base for the model.- Chapter 5. Uncertainty quantification, model calibration and sensitivity.- Chapter 6. The boundaries of cognition and decision making.- Chapter 7. Agent-based modelling and simulation with domain-specific languages.- Part III: Model results, applications, and reflections.- Chapter 8. Towards more realistic models.- Chapter 9. Bayesian model-based approach: impact on science and policy.- Chapter 10. Open science, replicability, and transparency in modelling.- Chapter 11. Conclusions: towards a Bayesian modelling process.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/03/083/041/3030830411_b.jpg", "price_data" : { "retail_price" : "49.99", "online_price" : "49.99", "our_price" : "49.99", "club_price" : "49.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Towards Bayesian Model-Based Demography|Jakub Bijak

Towards Bayesian Model-Based Demography : Agency, Complexity and Uncertainty in Migration Studies

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

Part I: Preliminaries: Chapter 1. Introduction.- Chapter 2. Uncertainty and complexity: towards model-based demography.- Part II: Elements of the modelling process.- Chapter 3. Principles and state of the art of agent-based migration modelling.- Chapter 4. Building a knowledge base for the model.- Chapter 5. Uncertainty quantification, model calibration and sensitivity.- Chapter 6. The boundaries of cognition and decision making.- Chapter 7. Agent-based modelling and simulation with domain-specific languages.- Part III: Model results, applications, and reflections.- Chapter 8. Towards more realistic models.- Chapter 9. Bayesian model-based approach: impact on science and policy.- Chapter 10. Open science, replicability, and transparency in modelling.- Chapter 11. Conclusions: towards a Bayesian modelling process.

This item is Non-Returnable

Details

  • ISBN-13: 9783030830410
  • ISBN-10: 3030830411
  • Publisher: Springer
  • Publish Date: December 2021
  • Dimensions: 9.21 x 6.14 x 0.61 inches
  • Shipping Weight: 0.91 pounds
  • Page Count: 263

Related Categories

You May Also Like...

    1

BAM Customer Reviews