Relevant bibliographies by topics / Cautious inference

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Cautious inference'

Author: Grafiati
Published: 9 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Cautious inference"

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Thöne, Helmut, Werner Kießling, and Ulrich Güntzer. "On cautious probabilistic inference and default detachment." Annals of Operations Research 55, no. 1 (1995): 195–224. http://dx.doi.org/10.1007/bf02031721.

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Dafoe, Allan, John R. Oneal, and Bruce Russett. "The Democratic Peace: Weighing the Evidence and Cautious Inference." International Studies Quarterly 57, no. 1 (2013): 201–14. http://dx.doi.org/10.1111/isqu.12055.

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De Cooman, Gert, Jasper De Bock, and Márcio Alves Diniz. "Coherent Predictive Inference under Exchangeability with Imprecise Probabilities." Journal of Artificial Intelligence Research 52 (January 10, 2015): 1–95. http://dx.doi.org/10.1613/jair.4490.

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Coherent reasoning under uncertainty can be represented in a very general manner by coherent sets of desirable gambles. In a context that does not allow for indecision, this leads to an approach that is mathematically equivalent to working with coherent conditional probabilities. If we do allow for indecision, this leads to a more general foundation for coherent (imprecise-)probabilistic inference. In this framework, and for a given finite category set, coherent predictive inference under exchangeability can be represented using Bernstein coherent cones of multivariate polynomials on the simpl
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Rogers, Mark F., Colin Campbell, and Yiming Ying. "Probabilistic Inference of Biological Networks via Data Integration." BioMed Research International 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/707453.

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There is significant interest in inferring the structure of subcellular networks of interaction. Here we consider supervised interactive network inference in which a reference set of known network links and nonlinks is used to train a classifier for predicting new links. Many types of data are relevant to inferring functional links between genes, motivating the use of data integration. We use pairwise kernels to predict novel links, along with multiple kernel learning to integrate distinct sources of data into a decision function. We evaluate various pairwise kernels to establish which are mos
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Lee, Jinhee, and Inseok Song. "Effect of Prior Information on Bayesian Membership Calculations for Nearby Young Star Associations." Proceedings of the International Astronomical Union 10, S314 (2015): 67–68. http://dx.doi.org/10.1017/s1743921315006341.

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AbstractWe present a refined moving group membership diagnostics scheme based on Bayesian inference. Compared to the BANYAN II method, we improved the calculation by updating bona fide members of a moving group, field star treatment, and uniform spatial distribution of moving group members. Here, we present the detailed description of our method and the new results for Bayesian membership calculation. Comparison of our method with BANYAN II shows probability differences up to ~90%. We conclude that more cautious consideration is needed in moving group membership based on Bayesian inference.
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Encinas, Daniel. "Experiments as case studies: a qualitative approach to external validity." Qualitative & Multi-Method Research 19/20, no. 2/1 (2022): 20–30. https://doi.org/10.5281/zenodo.6478365.

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Over the last few decades, experimental research has gained recognition in political science for enabling the identification of causal relationships. Conventional methodological discussions establish that experiments are generally high in internal validity (i.e., the degree of confidence in causal inferences). At the same time, all experimental studies are “context-dependent” and, thus, “the generalizability of experimental effects is always at issue” (Shadish, Cook, and Campbell 2002, 5). In this sense, scholars regularly consider experiments low in external validity (
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Malskyy, Markiyan. "A Legal Notion of Adverse Inference in WTO Case Law." Polish Political Science Yearbook 53, no. 1 (2024): 5–15. http://dx.doi.org/10.15804/ppsy202401.

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Gathering evidence is of utmost importance in any legal proceeding. However, sometimes, one of the parties may hide specific evidence, which complicates the adjudicators’ reaching of a fair conclusion. For such cases, judges or arbitrators can use several tools, one of which is adverse inference. An adverse inference is a negative conclusion that may be drawn from a party’s failure to provide some evidence without a valid excuse for non-production. By drawing it, adjudicators assume this evidence would harm the party’s interests. At the same time, adverse inference is quite a radical tool beca
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TRILLAS, E. "ON LOGIC AND FUZZY LOGIC." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 01, no. 02 (1993): 107–37. http://dx.doi.org/10.1142/s0218488593000073.

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This paper mainly consists of a review of some basic tools of Inexact Inference, its reduction to classical logic and its cautious use of Fuzzy Logic. Those tools are the concept of Conditional Relation, its greatest case of Material Conditional and the concept of Logical-States as possible worlds of "true" elements. Some recent results characterizing Monotonic Preorders are also introduced, in both the Classical and Fuzzy cases. Everything lies on the semantic level of Logic and is presented in a naive mathematical style.
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O’Neil-Pirozzi, Therese M. "Cautious inference of support for thickening liquids for persons with dementia in residential aged care facilities." Evidence-Based Communication Assessment and Intervention 7, no. 4 (2013): 135–38. http://dx.doi.org/10.1080/17489539.2014.923175.

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Wang, Liang-Jong, Yen-Wei Chou, and Jen-Pan Huang. "Testing the Effect of Sampling Effort on Inferring Phylogeographic History in Psolodesmus mandarinus (Calopterygidae, Odonata)." Diversity 14, no. 10 (2022): 809. http://dx.doi.org/10.3390/d14100809.

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Phylogeographic studies have revealed spatial genetic structure and inferred geographical processes that may have generated genetic diversity and divergence. These study results have implications not only on the processes that generate intraspecific and interspecific diversity but also on the essential integrals for defining evolutionary entities (e.g., species). However, the resulting phylogeographic inferences might be impacted by the sampling design, i.e., the number of individuals per population and the number of geographic populations studied. The effect of sampling bias on phylogeographi
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Dissertations / Theses on the topic "Cautious inference"

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CAMPAGNER, ANDREA. "Robust Learning Methods for Imprecise Data and Cautious Inference." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2023. https://hdl.handle.net/10281/404829.

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La rappresentazione, quantificazione e gestione dell'incertezza è uno dei problemi centrali nell'Intelligenza Artificiale, ed in particolare nel Machine Learning, in cui l'incertezza è intrinsecamente collegata alla natura induttiva dell'apprendimento. Tra diverse forme d'incertezza, la modellazione dell'imprecisione, cioè il problem di gestire dati o conoscenza imperfetta o incompleta, ha recentemente attratto molto interesse nella comunità di ricerca, per via delle sue implicazione teoriche e applicate sull'uso di strumenti basati sul Machine Learning. Questo lavoro si concentra sul problema
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Wagner, Sander. "Cautious inference : random life course events of parents and children in context." Doctoral thesis, Universitat Pompeu Fabra, 2014. http://hdl.handle.net/10803/277361.

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Esta tesis aborda el tema de los experimentos naturales o políticos que afectan el curso de la vida de padres e hijos y de las limitaciones de inferencia en tales experimentos. El primer trabajo "A non-linear Assessment of Preschool Effects" evalúa de forma no lineal la asignación de diferentes programas pre-escolares para niños daneses. Constatando que los resultados anteriores de encontrar efectos débiles se mantienen, pero que los niños y niñas muestran sorprendentemente diferentes efectos no lineales. El segundo papel "Rusty Instruments?" muestra que el método estándar para estimar los efe
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Plaß, Julia [Verfasser], and Thomas [Akademischer Betreuer] Augustin. "Statistical modelling of categorical data under ontic and epistemic imprecision : contributions to power set based analyses, cautious likelihood inference and (non-)testability of coarsening mechanisms / Julia Plaß ; Betreuer: Thomas Augustin." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2018. http://d-nb.info/116087624X/34.

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Books on the topic "Cautious inference"

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Radden, Jennifer, and Somogy Varga. The Epistemological Value of Depression Memoirs. Edited by K. W. M. Fulford, Martin Davies, Richard G. T. Gipps, et al. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199579563.013.0009.

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This chapter argues that despite the recent, welcome interest in autobiographical writing about depression, its use for research purposes presents an epistemological challenge because the extent to which these descriptions illuminate the true nature of depressive experiencecannot be discerned. Contextualized within the genre of autobiography as well as the subgenre of illness memoir (or "autopathography"), the depression memoir exhibits ambiguities, it is shown, imposed by the constraints of its genre, and by the nature of autobiographical memory. Sources of ambiguity distinctive to depression
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Book chapters on the topic "Cautious inference"

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Azzolini, Damiano, Elena Bellodi, and Fabrizio Riguzzi. "MAP Inference in Probabilistic Answer Set Programs." In AIxIA 2022 – Advances in Artificial Intelligence. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-27181-6_29.

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AbstractReasoning with uncertain data is a central task in artificial intelligence. In some cases, the goal is to find the most likely assignment to a subset of random variables, named query variables, while some other variables are observed. This task is called Maximum a Posteriori (MAP). When the set of query variables is the complement of the observed variables, the task goes under the name of Most Probable Explanation (MPE). In this paper, we introduce the definitions of cautious and brave MAP and MPE tasks in the context of Probabilistic Answer Set Programming under the credal semantics a
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Navarro, Danielle, and David Foxcroft. "16. Bayesian statistics." In Learning Statistics with jamovi. Open Book Publishers, 2025. https://doi.org/10.11647/obp.0333.16.

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Chapter 16 introduces Bayesian statistics as an alternative to the frequentist perspective commonly used in psychology and other scientific disciplines. The chapter begins by critiquing the dominance of frequentist methods, noting their limitations and the challenges they pose for applied research. Bayesian statistics is presented as a framework that prioritises belief revision and rational decision-making, underpinned by clear probabilistic reasoning. The chapter explains the fundamental principles of Bayesian inference, emphasising how prior beliefs, likelihoods, and observed data interact t
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Grossmann, Matt. "Reasons for Cautious Optimism." In How Social Science Got Better. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780197518977.003.0011.

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The explosion of data collection and availability, the expansion of academia and the spread of ideas, and innovations in theory and method all suggest bright days ahead for social science. Addressing human collective challenges such as climate change, poverty, and public health depends on the advance of social science. I revisit the benefits of accounting for human bias in advancing these efforts and for the further understanding of ourselves. I embrace reforms, but as pieces of a pluralist landscape rather than strictures. Descriptive inferences of generalized patterns, causal inference, and
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Rott, Hans. "Coherentist Belief Change as a Problem of Rational Choice." In Change, Choice and Inference. Oxford University PressOxford, 2001. http://dx.doi.org/10.1093/oso/9780198503064.003.0008.

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Abstract I have always thought of Parker, Quincy and Rice as honourable men. Parker, Quincy and Rice are neighbours of mine. Every Thursday evening they meet with Smith, a man living next street, for a few hours of poker. Yesterday—it was a Thursday—Smith was killed. The only persons who could have committed the crime are his poker partners. Now consider the following scenarios. Suppose I believe that situation (1) is the actual one. Considering all I know about my neighbours, as well as my opinions about them, I come to the conclusion that Parker may have been the assassin. This cautious conc
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Hallam, A. "Catastrophists and uniformitarians." In Great Geological Controversies. Oxford University PressOxford, 1990. http://dx.doi.org/10.1093/oso/9780198582182.003.0002.

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Abstract Like the neptunists, with whom they have often been associated, the catastrophists have generally had a bad press. In the popular mythology they were the ones who gave free play to fantasy, who rashly invoked supernatural causes and allowed their geological researches to be dictated by a priori metaphysical beliefs. The uniformitarians on the other hand were sober-minded, sensible people who, guided by the talismanic principle that ‘the present is the key to the past, eventually carried all before them and routed the opposition by their devotion to careful study of natural phenomena a
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Benthem, Johan van. "The Landscape of Deduction." In Substructural Logics. Oxford University PressOxford, 1993. http://dx.doi.org/10.1093/oso/9780198537779.003.0014.

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Abstract Recent logical research is showing an increasing sensitivity to the existence of what may be called different ‘styles of deduction’, organized in logical proof calculi that may vary even in the basic structural rules governing their general handling of premises and conclusions. Standard structural rules, such as Monotonicity, Contraction, Cut or Permutation, may be either lost completely in the process, or be modified to subtler variants (such as ‘leftward’ or ‘cautious’ forms of Monotonicity). Any system of structural rules may be seen as characteristic of a certain deductive style:
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Levi, Isaac. "Caution and Nonmonotonic Inference." In Knowledge and Inquiry. BRILL, 1997. http://dx.doi.org/10.1163/9789004457508_008.

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Goldman, Lawrence. "Adolphe Quetelet." In Victorians and Numbers. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780192847744.003.0007.

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L. A. J. (Adolphe) Quetelet, a Belgian, was the preeminent social statistician in mid-nineteenth century Europe. Widely admired in Britain, where his influence on Florence Nightingale was profound, his friends included William Farr and Charles Babbage, and he had been tutor to Prince Albert. He was present in Cambridge in 1833 when the Statistical Movement was initiated. A mathematician and astronomer who had graduated to the study of social science, his major work Sur L’Homme et les Développement de ses Facultés: Physique Sociale, published in 1835, was a bible for many in Britain. Social Phy
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Racine, Jeffrey S. "Random Walks, Unit Roots, and Spurious Relationships." In Reproducible Econometrics Using R. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190900663.003.0002.

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This chapter outlines pitfalls of using standard inference procedures common in cross- sectional settings in time series settings and presents alternative procedures. It also addresses the issue of spurious regression and cautions the reader against the unquestioning use of cross section tools in time series settings.
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Schwartz, Sharon, and Nicolle M. Gatto. "What Would Have Been Is Not What Would Be: Counterfactuals of the Past and Potential Outcomes of the Future." In Causality and Psychopathology. Oxford University Press, 2011. http://dx.doi.org/10.1093/oso/9780199754649.003.0006.

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Epidemiology is often described as the basic science of public health. A mainstay of epidemiologic research is to uncover the causes of disease that can serve as the basis for successful public-health interventions (e.g., Institute of Medicine, 1988; Milbank Memorial Fund Commission, 1976). A major obstacle to attaining this goal is that causes can never be seen but only inferred. For this reason, the inferences drawn from our studies must always be interpreted with caution. Considerable progress has been made in the methods required for sound causal inference. Much of this progress is rooted
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Conference papers on the topic "Cautious inference"

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Svatos, Martin. "Cautious Rule-Based Collective Inference." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/922.

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Collective inference is a popular approach for solving tasks as knowledge graph completion within the statistical relational learning field. There are many existing solutions for this task, however, each of them is subjected to some limitation, either by restriction to only some learning settings, lacking interpretability of the model or theoretical test error bounds. We propose an approach based on cautious inference process which uses first-order rules and provides PAC-style bounds.
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Oramas M., Jose, Luc De Raedt, and Tinne Tuytelaars. "Towards cautious collective inference for object verification." In 2014 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 2014. http://dx.doi.org/10.1109/wacv.2014.6836089.

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Reports on the topic "Cautious inference"

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McDowell, Luke K., Kalyan M. Gupta, and David W. Aha. Cautious Inference in Collective Classification. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada479429.

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