Counterfactual Inferences as Instances of Statistical Inferences

2020 ◽  
pp. 301-308
Author(s):  
ROBYN M. DAWES
Keyword(s):  
Statistical Inferences

Business Incubation in Uganda, Services, Processes and Incubatee Perceptions- A case study

10.33117/514 ◽  
2017 ◽  
Vol 13 (1) ◽  
pp. 94-108
Keyword(s):  
Social Enterprise ◽  
Single Case ◽  
Business Incubation ◽  
Entrepreneurial Networks ◽  
Private Sector Development ◽  
Statistical Inferences ◽  
Office Space ◽  
Interview Methods ◽  
Entrepreneurial Training

Purpose-This paper examines the nature of services and processes of business incubation. Its specific objectives are to establish the nature of services offered by business incubation centers in Uganda, examine the incubation process and to establish the perception of business incu- batees about business incubation services using a case of FinAfrica a private social enterprise. Methodology-This paper presents findings from one incubation center FinAfrica as a case study. Ethnographic design is adopted while observation and interview methods are used to collect data. Results-Key services offered by FinAfrica incubation center include entrepreneurial training, provision of office space, legal and accounting services, mentoring, coaching, entrepreneurial networks and general office administration. The centre has a unique business incubation model which starts with motivating people to start businesses, capacity building, business registration, and ends with graduation after attaining capability for self-sustainability. Incubatees perceive the services offered by the incubation centre as helpful through training, affordable office space, entrepreneurial ecosystem and opportunities for a lean startup. Implications- While this study does not offer statistical inferences for generalisation because of the qualitative design and single case, the exploration of FinAfrica provides insights about how Incubation centers need to plan for positive and sustainable entrepreneurial impact for startups. There is need for more Government and other development partners’ involvement in business incubation and post incubation support for competiveness and growth. Originality/value- This study provides insights about the key services offered in the incubation process and provides insights into the perceived benefits of business incubation. It also contributes to literature about business incubation with practical evidence from an emerging economy whose focus is on private sector development and innovation promotion.

Variant origin of Common Interosseous Artery from Brachial Artery

2017 ◽  
Vol 2 (3) ◽  
Author(s):  
Pralhad D. Subbannavar
Keyword(s):  
Brachial Artery ◽  
The Body ◽  
Dead Body ◽  
Invasive Procedures ◽  
Arterial Variations ◽  
Statistical Inferences ◽  
Individual Variations ◽  
Interosseous Artery ◽  
Cubital Fossa ◽  
Dissection Techniques

Acharya Sushruta has emphasized the method and importance of dissection to study anatomy practically. Perfect knowledge of anatomy is vital for practicing surgeons and hence the training of dissecting the dead body was considered as mandatory for surgeons. Though dissection techniques may give the perception of the structure of organs, the pervading and subtle consciousness in the body can be experienced with the eyes of knowledge and penance only. Though the standard anatomy is defined based on statistical inferences on comparing large number of subjects, individual variations and exceptional structural specialties tend to occur quite frequently. Proper recording and publication of such instances would strengthen the knowledge base of the science. Knowledge regarding arterial variations of upper limb is important for surgeons and orthopedicians as they are commonly involved in invasive procedures. We report a case ofvariant origin of right common interosseous artery from brachial artery in cubital fossa. It followed a normal course after the origin.

scholarly journals Standardizing human brain parcellations

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Ross M. Lawrence ◽  
Eric W. Bridgeford ◽  
Patrick E. Myers ◽  
Ganesh C. Arvapalli ◽  
Sandhya C. Ramachandran ◽  
...  
Keyword(s):  
Human Brain ◽  
Coordinate Space ◽  
The Past ◽  
File Storage ◽  
Statistical Inferences ◽  
Standardized Protocol ◽  
Storage Format ◽  
Labeling Scheme ◽  
Selection Of ◽  
Brain Atlases

AbstractUsing brain atlases to localize regions of interest is a requirement for making neuroscientifically valid statistical inferences. These atlases, represented in volumetric or surface coordinate spaces, can describe brain topology from a variety of perspectives. Although many human brain atlases have circulated the field over the past fifty years, limited effort has been devoted to their standardization. Standardization can facilitate consistency and transparency with respect to orientation, resolution, labeling scheme, file storage format, and coordinate space designation. Our group has worked to consolidate an extensive selection of popular human brain atlases into a single, curated, open-source library, where they are stored following a standardized protocol with accompanying metadata, which can serve as the basis for future atlases. The repository containing the atlases, the specification, as well as relevant transformation functions is available in the neuroparc OSF registered repository or https://github.com/neurodata/neuroparc.

scholarly journals A New Class of Estimators Based on a General Relative Loss Function

Mathematics ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1138
Author(s):  
Tao Hu ◽  
Baosheng Liang
Keyword(s):  
Loss Function ◽  
Asymptotically Normal ◽  
New Class ◽  
Statistical Inferences ◽  
Relative Loss ◽  
Special Cases ◽  
Class Of Estimators ◽  
Box Cox Transformation ◽  
Loss Estimator ◽  
Prostate Cancer Study

Motivated by the relative loss estimator of the median, we propose a new class of estimators for linear quantile models using a general relative loss function defined by the Box–Cox transformation function. The proposed method is very flexible. It includes a traditional quantile regression and median regression under the relative loss as special cases. Compared to the traditional linear quantile estimator, the proposed estimator has smaller variance and hence is more efficient in making statistical inferences. We show that, in theory, the proposed estimator is consistent and asymptotically normal under appropriate conditions. Extensive simulation studies were conducted, demonstrating good performance of the proposed method. An application of the proposed method in a prostate cancer study is provided.

Statistical Inferences for Testing Marginal Rank and (Generalized) Lorenz Dominances

1999 ◽  
Vol 65 (3) ◽  
pp. 557-570
Author(s):  
Buhong Zheng
Keyword(s):  
Statistical Inferences

scholarly journals Computational models of adaptive behavior and prefrontal cortex

2021 ◽  
Author(s):  
Alireza Soltani ◽  
Etienne Koechlin
Keyword(s):  
Prefrontal Cortex ◽  
Adaptive Behavior ◽  
Computational Models ◽  
Cognitive Architecture ◽  
Behavioral Outcomes ◽  
Internal Models ◽  
Multiple Systems ◽  
Statistical Inferences ◽  
Neural Computations ◽  
Task Sets

AbstractThe real world is uncertain, and while ever changing, it constantly presents itself in terms of new sets of behavioral options. To attain the flexibility required to tackle these challenges successfully, most mammalian brains are equipped with certain computational abilities that rely on the prefrontal cortex (PFC). By examining learning in terms of internal models associating stimuli, actions, and outcomes, we argue here that adaptive behavior relies on specific interactions between multiple systems including: (1) selective models learning stimulus–action associations through rewards; (2) predictive models learning stimulus- and/or action–outcome associations through statistical inferences anticipating behavioral outcomes; and (3) contextual models learning external cues associated with latent states of the environment. Critically, the PFC combines these internal models by forming task sets to drive behavior and, moreover, constantly evaluates the reliability of actor task sets in predicting external contingencies to switch between task sets or create new ones. We review different models of adaptive behavior to demonstrate how their components map onto this unifying framework and specific PFC regions. Finally, we discuss how our framework may help to better understand the neural computations and the cognitive architecture of PFC regions guiding adaptive behavior.

Portfolio revision and optimal diversification strategy choices

2014 ◽  
Vol 10 (4) ◽  
pp. 537-564
Author(s):  
Mourad Mroua ◽  
Fathi Abid
Keyword(s):  
Transaction Costs ◽  
Tracking Error ◽  
Investment Strategy ◽  
Selection Strategy ◽  
Revision Procedure ◽  
Content Type ◽  
Efficient Frontiers ◽  
Statistical Inferences ◽  
Diversification Strategies ◽  
International Portfolios

Purpose – Since equity markets have a dynamic nature, the purpose of this paper is to investigate the performance of a revision procedure for domestic and international portfolios, and provides an empirical selection strategy for optimal diversification from an American investor's point of view. This paper considers the impact of estimation errors on the optimization processes in financial portfolios. Design/methodology/approach – This paper introduces the concept of portfolio resampling using Monte Carlo method. Statistical inferences methodology is applied to construct the sample acceptance regions and confidence regions for the resampled portfolios needing revision. Tracking error variance minimization (TEVM) problem is used to define the tracking error efficient frontiers (TEEF) referring to Roll (1992). This paper employs a computation method of the periodical after revision return performance level of the dynamic diversification strategies considering the transaction cost. Findings – The main finding is that the global portfolio diversification benefits exist for the domestic investors, in both the mean-variance and tracking error analysis. Through TEEF, the dynamic analysis indicates that domestic dynamic diversification outperforms international major and emerging diversification strategies. Portfolio revision appears to be of no systematic benefit. Depending on the revision of the weights of the assets in the portfolio and the transaction costs, the revision policy can negatively affect the performance of an investment strategy. Considering the transaction costs of portfolios revision, the results of the return performance computation suggest the dominance of the global and the international emerging markets diversification over all other strategies. Finally, an assessment between the return and the cost of the portfolios revision strategy is necessary. Originality/value – The innovation of this paper is to introduce a new concept of the dynamic portfolio management by considering the transaction costs. This paper investigates the performance of a revision procedure for domestic and international portfolios and provides an empirical selection strategy for optimal diversification. The originality of the idea consists on the application of a new statistical inferences methodology to define portfolios needing revision and the use of the TEVM algorithm to define the tracking error dynamic efficient frontiers.

scholarly journals Statistical inferences for functional data

2007 ◽  
Vol 35 (3) ◽  
pp. 1052-1079 ◽  
Author(s):  
Jin-Ting Zhang ◽  
Jianwei Chen
Keyword(s):  
Functional Data ◽  
Statistical Inferences

Amending survey design to improve statistical inferences: Monitoring recruitment of juvenile reef fish in the eastern Gulf of Mexico

2021 ◽  
Vol 241 ◽  
pp. 106015
Author(s):  
Meagan N. Schrandt ◽  
Colin P. Shea ◽  
Benjamin N. Kurth ◽  
Theodore S. Switzer
Keyword(s):  
Gulf Of Mexico ◽  
Reef Fish ◽  
Survey Design ◽  
Statistical Inferences ◽  
Eastern Gulf Of Mexico ◽  
Juvenile Reef Fish
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