01261nam--2200409---450-99000594810020331620140520093114.0978-88-7462-542-0000594810USA01000594810(ALEPH)000594810USA0100059481020140520d2014----km-y0itay50------baitaengITa---||||001yyInside outscritti 1963-1988Peter Eisenmancon un saggio di Roberto Damianitraduzione di Maria Baiocchi e Anna TagliaviniMacerataQuodlibet2014392 p.ill.23 cmQuodlibet abitare102001Quodlibet abitare102001Inside out13847ArchitetturaTeorieBNCF720.92EISENMAN,Peter23897DAMIANI,RobertoBAIOCCHI,MariaITsalbcISBD990005948100203316XII.2.D. 10459805 L.G.XII.2.D.00354794BKUMAPASSARO9020140520USA010927PASSARO9020140520USA010929PASSARO9020140520USA010931Inside out13847UNISA00717nam a2200217 i 4500991000923739707536101028s2010 it 000 0 ita d9788860441812b13932846-39ule_instSet. Economia - SAGAita863.914Veronesi, Sandro221017XY /Sandro VeronesiRoma :Fandango,2010394 p. ;21 cm.b1393284614-01-1128-10-10991000923739707536LE025 ECO NARR 853 VER01.0212025000238534le025-E19.50-l- 00000.i1521990214-01-11XY250330UNISALENTOle02528-10-10ma -itait 0005553nam 2200709 a 450 991083030400332120230721030231.01-282-12309-297866121230920-470-72403-X0-470-72402-1(CKB)1000000000377268(EBL)470202(OCoLC)609848853(SSID)ssj0000354356(PQKBManifestationID)11273859(PQKBTitleCode)TC0000354356(PQKBWorkID)10314133(PQKB)11620589(MiAaPQ)EBC470202(EXLCZ)99100000000037726820070907d2007 uy 0engur|n|---|||||txtccrInference and prediction in large dimensions[electronic resource] /Denis Bosq, Delphine BlankeChichester, England ;Hoboken, NJ John Wiley/Dunodc20071 online resource (338 p.)Wiley series in probability and statistics"This work is in the Wiley-Dunod Series co-published between Dunod and John Wiley & Sons, Ltd."0-470-01761-9 Includes bibliographical references (p. [299]-307) and index.Inference and Prediction in Large Dimensions; Contents; List of abbreviations; Introduction; Part I Statistical Prediction Theory; 1 Statistical prediction; 1.1 Filtering; 1.2 Some examples; 1.3 The prediction model; 1.4 P-sufficient statistics; 1.5 Optimal predictors; 1.6 Efficient predictors; 1.7 Loss functions and empirical predictors; 1.7.1 Loss function; 1.7.2 Location parameters; 1.7.3 Bayesian predictors; 1.7.4 Linear predictors; 1.8 Multidimensional prediction; Notes; 2 Asymptotic prediction; 2.1 Introduction; 2.2 The basic problem; 2.3 Parametric prediction for stochastic processes2.4 Predicting some common processes2.5 Equivalent risks; 2.6 Prediction for small time lags; 2.7 Prediction for large time lags; Notes; Part II Inference by Projection; 3 Estimation by adaptive projection; 3.1 Introduction; 3.2 A class of functional parameters; 3.3 Oracle; 3.4 Parametric rate; 3.5 Nonparametric rates; 3.6 Rate in uniform norm; 3.7 Adaptive projection; 3.7.1 Behaviour of truncation index; 3.7.2 Superoptimal rate; 3.7.3 The general case; 3.7.4 Discussion and implementation; 3.8 Adaptive estimation in continuous time; Notes; 4 Functional tests of fit4.1 Generalized chi-square tests4.2 Tests based on linear estimators; 4.2.1 Consistency of the test; 4.2.2 Application; 4.3 Efficiency of functional tests of fit; 4.3.1 Adjacent hypotheses; 4.3.2 Bahadur efficiency; 4.4 Tests based on the uniform norm; 4.5 Extensions. Testing regression; 4.6 Functional tests for stochastic processes; Notes; 5 Prediction by projection; 5.1 A class of nonparametric predictors; 5.2 Guilbart spaces; 5.3 Predicting the conditional distribution; 5.4 Predicting the conditional distribution function; Notes; Part III Inference by Kernels6 Kernel method in discrete time6.1 Presentation of the method; 6.2 Kernel estimation in the i.i.d. case; 6.3 Density estimation in the dependent case; 6.3.1 Mean-square error and asymptotic normality; 6.3.2 Almost sure convergence; 6.4 Regression estimation in the dependent case; 6.4.1 Framework and notations; 6.4.2 Pointwise convergence; 6.4.3 Uniform convergence; 6.5 Nonparametric prediction by kernel; 6.5.1 Prediction for a stationary Markov process of order k; 6.5.2 Prediction for general processes; Notes; 7 Kernelmethodin continuous time7.1 Optimal and superoptimal rates for density estimation7.1.1 The optimal framework; 7.1.2 The superoptimal case; 7.2 From optimal to superoptimal rates; 7.2.1 Intermediate rates; 7.2.2 Classes of processes and examples; 7.2.3 Mean-square convergence; 7.2.4 Almost sure convergence; 7.2.5 An adaptive approach; 7.3 Regression estimation; 7.3.1 Pointwise almost sure convergence; 7.3.2 Uniform almost sure convergence; 7.4 Nonparametric prediction by kernel; Notes; 8 Kernel method from sampled data; 8.1 Density estimation; 8.1.1 High rate sampling; 8.1.2 Adequate sampling schemes8.2 Regression estimationThis book offers a predominantly theoretical coverage of statistical prediction, with some potential applications discussed, when data and/ or parameters belong to a large or infinite dimensional space. It develops the theory of statistical prediction, non-parametric estimation by adaptive projection - with applications to tests of fit and prediction, and theory of linear processes in function spaces with applications to prediction of continuous time processes. This work is in the Wiley-Dunod Series co-published between Dunod (www.dunod.com) and John WilWiley series in probability and statistics.Estimation theoryNonparametric statisticsStochastic processesPrediction theoryEstimation theory.Nonparametric statistics.Stochastic processes.Prediction theory.519.5/44519.54Bosq Denis1939-250889Blanke Delphine1695375Dunod (Firm)MiAaPQMiAaPQMiAaPQBOOK9910830304003321Inference and prediction in large dimensions4074580UNINA04650nam 22007575 450 991102215500332120250825130214.09789819669134(electronic bk.)978981966912710.1007/978-981-96-6913-4(MiAaPQ)EBC32270987(Au-PeEL)EBL32270987(CKB)40416497100041(DE-He213)978-981-96-6913-4(OCoLC)1534602639(EXLCZ)994041649710004120250825d2025 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierApproaching Natural Resources for Sustainable Development in Indonesia Confronting the Socio-Ecological Crisis /edited by Henny Warsilah, Agus Heri Purnomo1st ed. 2025.Singapore :Springer Nature Singapore :Imprint: Springer,2025.1 online resource (428 pages)Sustainable Development Goals Series,2523-3092Print version: Warsilah, Henny Approaching Natural Resources for Sustainable Development in Indonesia Singapore : Springer,c2025 9789819669127 Part 1 Introduction -- Chapter 1 Problems of the Socio-Ecological Crisis in Indonesia from the Perspective of Sustainable Development -- Part 2 Natural Resource Governance from a Political, Policy and Legal Perspective -- Chapter 2 Environmental and Societal Challenges in Indonesia: An Evaluation of Laws, Policies and Natural Resources Governance -- Chapter 3 Natural Resources Governance from Perspective of Politics: The Indonesian’s Case -- Chapter 4 Prospects and Trends in Natural Resource Governance: A Case Study of Tin Reclamation Land in East Belitung, Indonesia -- Chapter 5 Socio-Ecological Crisis of Abandoned Coal-Mining Pits in East Kalimantan: Efforts to Fight Injustice.This book brings to light the sustainability dilemma in Southeast Asia, with a sharp focus on Indonesia’s rapid economic growth and its profound impact on natural resources, ecosystems, and society. It examines the complex challenge of fostering strong economic development while avoiding environmental degradation and social dislocation. Central to this discourse is the vital role of government regulation and the imperative of community involvement in managing natural resources. Indonesia’s economic boom—mirroring trends across Asia—has triggered escalating land-use conflicts in forests, peatlands, rural-urban zones, and karst landscapes. This is paralleled by expanding access to coal, tin, and oil and gas, leading to large-scale extractive operations and widespread environmental damage. The book adopts a sustainable development framework, exploring its ecological, economic, social, and political dimensions. Crucially, it argues that today’s socio-ecological crisis is not just a consequence of growth, but a systemic condition rooted in capitalism. Written by leading experts, the book offers interdisciplinary perspectives—socio-cultural, legal, political, and economic—supported by detailed case studies. A timely and essential resource for policymakers, researchers, and practitioners committed to Indonesia’s sustainable future.Sustainable Development Goals Series,2523-3092Human ecologyEnvironmental sciencesSocial aspectsAnthropologyEthnologySustainabilityPower resourcesEnvironmental economicsEnvironmental AnthropologyEnvironmental Social SciencesAnthropologySociocultural AnthropologySustainabilityResource and Environmental EconomicsHuman ecology.Environmental sciencesSocial aspects.Anthropology.Ethnology.Sustainability.Power resources.Environmental economics.Environmental Anthropology.Environmental Social Sciences.Anthropology.Sociocultural Anthropology.Sustainability.Resource and Environmental Economics.304.2Warsilah Henny1845597Purnomo Agus Heri1845598MiAaPQMiAaPQMiAaPQ9911022155003321Approaching Natural Resources for Sustainable Development in Indonesia4429416UNINA