{"product_id":"9780387699516","title":"Weak Dependence: With Examples and Applications","description":"\u003cp\u003eThis book develops Doukhan\/Louhichi's 1999 idea to measure asymptotic independence of a random process. The authors, who helped develop this theory, propose examples of models fitting such conditions: stable Markov chains, dynamical systems or more complicated models, nonlinear, non-Markovian, and heteroskedastic models with infinite memory. Applications are still needed to develop a method of analysis for nonlinear times series, and this book provides a strong basis for additional studies.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e","brand":"Springer New York","offers":[{"title":"Default Title","offer_id":47008463880432,"sku":"9780387699516","price":139.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9780387699516_p0.jpg?v=1763696048","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9780387699516","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}